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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. 0-RES-JB
    11. 1283
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾
    -0.89
     Cosponsors
    -0.81
    bull
    -0.72
    ocrats
    -0.69
     quo
    -0.67
    venants
    -0.66
     UCH
    -0.66
     Feld
    -0.65
    umbnails
    -0.64
    ertodd
    -0.63
    POSITIVE LOGITS
     Trin
    0.64
     annoyance
    0.62
    roma
    0.61
    repl
    0.61
    sey
    0.61
     Vend
    0.60
    idia
    0.60
    REM
    0.58
     Vendor
    0.58
    endish
    0.58
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.