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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. 15380
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    Explanations

    comparative adjectives expressing degree or rank

    oai_token-act-pair · gpt-3.5-turbo

    comparative adjectives indicating improvement or degree

    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
    ————
    -0.75
    OTHER
    -0.69
    meg
    -0.69
    amera
    -0.69
    tnc
    -0.63
    ml
    -0.62
    zek
    -0.62
    EP
    -0.62
    MK
    -0.62
    aren
    -0.60
    POSITIVE LOGITS
     portion
    0.77
    iest
    0.76
    liest
    0.75
    thren
    0.72
     part
    0.69
     sections
    0.69
     Lann
    0.68
     nature
    0.68
     tendency
    0.66
     McAuliffe
    0.65
    Activations Density 0.067%

    No Known Activations