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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. 10-RES-JB
    11. 22182
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    INDEX
    Explanations

    causal relationships between actions and motivations

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and contrasting phrases that indicate conditions or exceptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ibles
    -0.66
    rawdownloadcloneembedreportprint
    -0.61
     Anon
    -0.59
    gdala
    -0.56
    ife
    -0.55
    ivo
    -0.54
     awa
    -0.53
    appro
    -0.53
     podium
    -0.53
    owa
    -0.52
    POSITIVE LOGITS
     because
    2.14
    because
    2.00
    Because
    1.83
     Because
    1.76
     bec
    1.51
     due
    1.48
    ecause
    1.45
    cause
    1.42
     owing
    1.33
     bc
    1.27
    Activations Density 1.034%

    No Known Activations