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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 15967
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    Explanations

    mentions of the sports team "Rams"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Rams football team

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    judicial
    -0.75
    lly
    -0.71
    ternity
    -0.69
    umerable
    -0.66
     showc
    -0.65
    CLASSIFIED
    -0.64
     whistlebl
    -0.64
     coronary
    -0.62
    ierrez
    -0.61
     grat
    -0.61
    POSITIVE LOGITS
     Rams
    1.04
    aic
    0.95
    mers
    0.93
    eco
    0.87
    borg
    0.86
    den
    0.85
    opa
    0.81
    esses
    0.80
    der
    0.79
    seys
    0.79
    Activations Density 0.024%

    No Known Activations