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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
    11. 5229
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    Explanations

    mentions about childhood experiences or memories

    oai_token-act-pair · gpt-3.5-turbo

    references to youth and childhood experiences

    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
    idine
    -0.78
    atile
    -0.73
    atility
    -0.69
     antioxid
    -0.69
    ords
    -0.66
     acron
    -0.66
     Cosponsors
    -0.65
    alog
    -0.64
    usterity
    -0.62
    aspx
    -0.62
    POSITIVE LOGITS
     summers
    0.86
    digy
    0.78
     boy
    0.75
    boy
    0.74
     kid
    0.73
     kindergarten
    0.73
    zin
    0.73
    escent
    0.71
     Nasa
    0.69
    kids
    0.68
    Activations Density 0.112%

    No Known Activations