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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. 6462
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    INDEX
    Explanations

    negative evaluations or criticisms

    oai_token-act-pair · gpt-3.5-turbo

    terms indicating negative assessments or failures

    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
    ancies
    -0.78
    rams
    -0.76
    poons
    -0.72
    arya
    -0.72
    ses
    -0.70
    eways
    -0.69
    ebus
    -0.69
    rosso
    -0.68
    fixes
    -0.68
     contacts
    -0.67
    POSITIVE LOGITS
     unto
    1.11
     unworthy
    0.91
     compared
    0.89
     affair
    0.87
    piece
    0.82
     breaker
    0.80
     worthy
    0.80
     akin
    0.80
     nonetheless
    0.79
     perpetrated
    0.78
    Activations Density 0.169%

    No Known Activations