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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. 7-RES-JB
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    Explanations

    mentions of professional sports teams, specifically the Memphis Grizzlies

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Memphis Grizzlies basketball team

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    boarding
    -0.89
    arat
    -0.85
    spring
    -0.83
    ship
    -0.82
    acl
    -0.81
    astical
    -0.78
    arger
    -0.76
    wealth
    -0.74
    sworth
    -0.72
    abul
    -0.71
    POSITIVE LOGITS
     Grizzlies
    1.11
    phis
    0.76
     Goat
    0.70
    utical
    0.69
     cooker
    0.68
    etsk
    0.66
    mma
    0.64
     actionGroup
    0.62
    chwitz
    0.62
    illas
    0.61
    Activations Density 0.060%

    No Known Activations