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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. 3-RES-JB
    11. 8331
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    Explanations

    words related to overcoming obstacles or challenges

    oai_token-act-pair · gpt-3.5-turbo

    references to combat sports and obstacles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Canaver
    -0.86
    clave
    -0.73
    edo
    -0.71
     nostalg
    -0.70
     rall
    -0.68
    earable
    -0.67
    endas
    -0.67
    atile
    -0.65
    utic
    -0.64
    uments
    -0.63
    POSITIVE LOGITS
    antam
    0.94
    tha
    0.77
    SHIP
    0.74
    weights
    0.70
    boards
    0.70
     hurdle
    0.67
    worth
    0.66
    phabet
    0.65
    board
    0.64
     nat
    0.64
    Activations Density 0.027%

    No Known Activations