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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. 1-RES-JB
    11. 339
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    Explanations

    words related to teasers and inducement

    oai_token-act-pair · gpt-3.5-turbo

    terms related to film trailers and promotional content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Patriarch
    -0.79
    olved
    -0.76
    ed
    -0.68
    endale
    -0.68
    ellery
    -0.63
    phan
    -0.62
     Rossi
    -0.62
    dy
    -0.62
    isson
    -0.60
    olve
    -0.59
    POSITIVE LOGITS
    ulp
    0.96
    pees
    0.95
     confir
    0.83
     horizont
    0.82
    atonin
    0.81
    AAF
    0.75
    prints
    0.74
    yrus
    0.74
    aneous
    0.73
     condu
    0.73
    Activations Density 0.021%

    No Known Activations