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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. 7-RES-JB
    11. 10899
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    Explanations

    phrases related to hierarchy or levels of authority

    oai_token-act-pair · gpt-3.5-turbo

    references to levels or positions in relation to a defined standard

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sbm
    -0.69
    rix
    -0.68
    CLA
    -0.68
    behind
    -0.68
     ahead
    -0.68
    PsyNetMessage
    -0.67
    76561
    -0.66
     followed
    -0.65
    reau
    -0.65
    PLA
    -0.65
    POSITIVE LOGITS
     threshold
    1.04
     bounds
    0.95
     horizon
    0.93
     limits
    0.89
     usual
    0.88
     boundaries
    0.88
     confines
    0.87
     allowable
    0.84
     level
    0.84
     fray
    0.83
    Activations Density 0.128%

    No Known Activations