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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. 7014
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    INDEX
    Explanations

    words related to negative emotions or responses, particularly disappointment

    oai_token-act-pair · gpt-3.5-turbo

    prefixes related to negative or adverse conditions

    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
    glers
    -0.76
     Kinnikuman
    -0.74
    Reviewer
    -0.68
     msec
    -0.61
     Tau
    -0.61
    swick
    -0.61
     numbering
    -0.60
    hetti
    -0.60
     doomed
    -0.60
     Archdemon
    -0.59
    POSITIVE LOGITS
    quiet
    1.03
    ruption
    1.01
    comfort
    1.01
    cipl
    1.00
    abled
    1.00
    rup
    0.99
    appointed
    0.96
    placed
    0.95
    licted
    0.95
    qus
    0.94
    Activations Density 0.006%

    No Known Activations