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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. 11774
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to political terms or terms associated with duration in office

    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
    chy
    -0.73
    ortium
    -0.70
    ICLE
    -0.70
    rotein
    -0.70
    riad
    -0.70
    ramid
    -0.67
    ECTION
    -0.67
    rote
    -0.66
    OWN
    -0.65
    hou
    -0.63
    POSITIVE LOGITS
    acity
    0.90
    abilities
    0.87
    ability
    0.84
    sworth
    0.84
    mate
    0.83
    marks
    0.81
    mates
    0.75
    lasting
    0.74
    lock
    0.71
    long
    0.71
    Activations Density 0.029%

    No Known Activations