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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. 1-RES-JB
    11. 22830
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    Explanations

    references to actions involving biting or nibbling

    oai_token-act-pair · gpt-3.5-turbo

    terms related to biting and being bitten

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    allows
    -0.73
    ARY
    -0.71
    EMS
    -0.69
     Halls
    -0.67
    IDA
    -0.66
    ifted
    -0.63
    REAM
    -0.62
    ESCO
    -0.62
    CAST
    -0.61
     Ou
    -0.60
    POSITIVE LOGITS
     bitten
    1.28
    terness
    1.11
     biting
    1.06
     nib
    0.98
     bite
    0.90
     bites
    0.85
    bite
    0.83
     tongues
    0.80
     Bite
    0.77
    bling
    0.77
    Activations Density 0.007%

    No Known Activations