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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. 4-RES-JB
    11. 22393
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    Explanations

    phrases related to specific entities or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific entities or topics within various contexts

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

    No Comments

    Negative Logits
    vu
    -0.72
    ammy
    -0.69
    pri
    -0.69
    culosis
    -0.68
     Mermaid
    -0.65
    WARD
    -0.64
     viol
    -0.64
    piece
    -0.63
    ————
    -0.63
    ubi
    -0.63
    POSITIVE LOGITS
     confines
    1.44
     bounds
    1.01
     limits
    0.88
     realms
    0.83
     boundaries
    0.81
     perimeter
    0.81
     scope
    0.80
     realm
    0.79
     borders
    0.78
     circles
    0.75
    Activations Density 0.087%

    No Known Activations