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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. 9-RES-JB
    11. 6030
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    Explanations

    words related to schemes or plans

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "scheme" and its variants

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãģĹ
    -0.75
    lake
    -0.70
    inas
    -0.69
    oat
    -0.69
    Flo
    -0.69
     Lutheran
    -0.65
    aq
    -0.63
    stood
    -0.61
    ãģķ
    -0.59
     Flo
    -0.59
    POSITIVE LOGITS
     schemes
    0.98
     scheme
    0.93
     devised
    0.91
    eers
    0.89
    matic
    0.85
    mable
    0.85
    etary
    0.85
     whereby
    0.85
    matically
    0.82
    ĸļ
    0.81
    Activations Density 0.033%

    No Known Activations