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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. 0-RES-JB
    11. 20426
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    Explanations

    terminology related to scoring or earning points

    oai_token-act-pair · gpt-3.5-turbo

    references to "Points" in the context of rewards or scoring systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    unic
    -0.69
     servicing
    -0.66
     restraint
    -0.66
    irt
    -0.64
     simul
    -0.64
     ferment
    -0.62
     behav
    -0.61
    ster
    -0.61
     incub
    -0.61
     freeze
    -0.59
    POSITIVE LOGITS
     Points
    3.81
    Points
    2.51
     points
    2.14
    points
    2.08
     Point
    1.88
    Point
    1.71
    point
    1.55
     pts
    1.31
     point
    1.28
     Tokens
    1.21
    Activations Density 0.010%

    No Known Activations