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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. 2-RES-JB
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    Explanations

    terms related to American football interceptions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of interceptions in a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imb
    -0.87
    enny
    -0.72
    prime
    -0.72
    udge
    -0.68
    este
    -0.67
    enes
    -0.67
    POST
    -0.66
    Cool
    -0.66
    eli
    -0.66
    fil
    -0.64
    POSITIVE LOGITS
     interceptions
    1.06
     interception
    0.98
     intercepted
    0.85
    ception
    0.73
     muster
    0.70
     Depth
    0.68
     reception
    0.68
     Iro
    0.68
     touchdowns
    0.65
     fumble
    0.65
    Activations Density 0.005%

    No Known Activations