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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. 3-RES-JB
    11. 4980
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    Explanations

    verbs indicating actions or events that have been completed or achieved

    oai_token-act-pair · gpt-3.5-turbo

    verbs indicating actions related to events or decisions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arms
    -0.67
    roots
    -0.65
    tein
    -0.65
    dom
    -0.64
    rouse
    -0.63
     sucks
    -0.63
    comes
    -0.62
    istries
    -0.61
    Vers
    -0.61
     temper
    -0.60
    POSITIVE LOGITS
     aback
    0.94
    ĸļ
    0.85
     psychiat
    0.84
     unanimously
    0.71
    umerable
    0.71
    cffffcc
    0.68
    urated
    0.68
    ãĥ¼ãĤ¯
    0.68
    ãĥ¼ãĥĨ
    0.67
    Ô
    0.67
    Activations Density 0.438%

    No Known Activations