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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. 11168
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    Explanations

    words related to academic or professional achievements and statuses

    oai_token-act-pair · gpt-3.5-turbo

    words that relate to ice or cold themes

    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
     frog
    -0.65
    frog
    -0.62
     conce
    -0.61
     sterling
    -0.59
     solicit
    -0.59
     dust
    -0.55
    raught
    -0.55
    tip
    -0.55
     ostr
    -0.53
    touch
    -0.53
    POSITIVE LOGITS
    uese
    0.80
    olan
    0.71
    anski
    0.69
     guiActiveUnfocused
    0.68
    anche
    0.68
    herty
    0.68
    ogl
    0.67
    ulo
    0.67
    inese
    0.66
    antage
    0.65
    Activations Density 0.209%

    No Known Activations