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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 14299
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    Explanations

    phrases containing words related to actions or discussions happening in a particular setting or described in a certain context

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include the word "this," indicating a focus on present or specific situations or examples

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    terness
    -0.80
    istries
    -0.76
    eers
    -0.71
    ufact
    -0.68
    ãĥ´ãĤ¡
    -0.68
    argon
    -0.66
    eer
    -0.65
    amins
    -0.64
    Austral
    -0.63
    hard
    -0.60
    POSITIVE LOGITS
    Untitled
    0.70
     happening
    0.70
     guiActiveUnfocused
    0.64
     occurring
    0.63
     Quote
    0.63
    riber
    0.58
     involving
    0.58
     trope
    0.58
     deserves
    0.58
    ãĢĤ
    0.57
    Activations Density 0.064%

    No Known Activations