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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. 20283
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    Explanations

    proper nouns, specifically names of individuals and places

    oai_token-act-pair · gpt-3.5-turbo

    recurring names and terms associated with events or subjects being discussed

    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
    rium
    -0.92
    rina
    -0.87
    versions
    -0.87
    estones
    -0.82
    estone
    -0.81
    err
    -0.74
    eros
    -0.74
     Yugoslav
    -0.74
    asus
    -0.72
    erg
    -0.71
    POSITIVE LOGITS
     Oaks
    1.10
     Sherman
    0.91
    agements
    0.82
    PLIED
    0.76
     Osw
    0.71
     Firefly
    0.70
     Madness
    0.70
    stein
    0.69
    abeth
    0.67
    ãĥĨãĤ£
    0.65
    Activations Density 0.045%

    No Known Activations