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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. 10-RES-JB
    11. 5790
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    Explanations

    numbers representing ratings or scores

    oai_token-act-pair · gpt-3.5-turbo

    phrases that denote the concept of "of" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    addy
    -0.72
    rav
    -0.67
    auga
    -0.67
    plain
    -0.67
    aths
    -0.66
    icum
    -0.65
    rouse
    -0.65
    ACP
    -0.64
    onian
    -0.63
    anche
    -0.63
    POSITIVE LOGITS
    icial
    0.88
     guiActiveUn
    0.72
     THR
    0.69
     Echoes
    0.69
     kin
    0.68
     Hearts
    0.66
     10
    0.65
     Tradable
    0.65
     8
    0.64
     guiActive
    0.64
    Activations Density 0.033%

    No Known Activations