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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. 2-RES-JB
    11. 6261
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    INDEX
    Explanations

    mention of different actions or performances

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of actions or behaviors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Galile
    -0.79
     Carlo
    -0.67
    gran
    -0.65
     Parad
    -0.64
    joy
    -0.63
     Lay
    -0.62
     Canal
    -0.62
     Krish
    -0.61
     Keen
    -0.60
     Conway
    -0.60
    POSITIVE LOGITS
    ional
    0.99
    ivism
    0.97
    uated
    0.95
    uary
    0.90
     acts
    0.90
    ivity
    0.89
    uating
    0.88
    uate
    0.85
    hips
    0.84
    inic
    0.83
    Activations Density 0.007%

    No Known Activations