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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. 6-RES-JB
    11. 15283
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    Explanations

    verbs related to cooking or food preparation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the cooking process and techniques

    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
    ertodd
    -0.82
    umbn
    -0.79
    orporated
    -0.72
    venants
    -0.72
    orb
    -0.67
    idas
    -0.66
    vernment
    -0.65
     Transit
    -0.64
    onnaissance
    -0.64
    emale
    -0.63
    POSITIVE LOGITS
    stall
    0.89
     cooks
    0.88
    books
    0.87
     stove
    0.85
     cook
    0.83
    ieri
    0.79
    Cook
    0.78
    icer
    0.78
     supper
    0.77
    washer
    0.77
    Activations Density 0.026%

    No Known Activations