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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. 17320
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    INDEX
    Explanations

    comparisons of skills or abilities

    oai_token-act-pair · gpt-3.5-turbo

    evaluations of skill levels or abilities

    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
    iann
    -0.70
    fty
    -0.69
    ancies
    -0.68
    eway
    -0.68
    elia
    -0.66
    akings
    -0.65
     expired
    -0.65
     entirety
    -0.65
    ridor
    -0.64
    erity
    -0.63
    POSITIVE LOGITS
     behaved
    0.98
     suited
    0.92
     negotiator
    0.91
     acquainted
    0.90
     negotiators
    0.90
     performers
    0.90
     achie
    0.85
     performer
    0.83
     compensated
    0.79
    enough
    0.79
    Activations Density 0.164%

    No Known Activations