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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. 8-RES-JB
    11. 7203
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    Explanations

    phrases related to the progression or completion of actions or events

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and linking words that create connections between statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lime
    -0.68
    zip
    -0.67
    ãĥĭ
    -0.67
    inness
    -0.67
    ãĤ¤
    -0.66
    onomic
    -0.66
    cube
    -0.65
    acci
    -0.65
    Central
    -0.65
    anmar
    -0.64
    POSITIVE LOGITS
     secondly
    0.98
     THEN
    0.98
     hence
    0.88
     decides
    0.86
     thereby
    0.85
     subsequently
    0.83
     then
    0.83
     consequently
    0.83
     interacts
    0.83
     thus
    0.82
    Activations Density 0.402%

    No Known Activations