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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. 3-RES-JB
    11. 13456
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itialized
    -0.67
     runners
    -0.63
    ENTS
    -0.63
    wives
    -0.63
    MSN
    -0.60
    imity
    -0.58
     Germans
    -0.56
     Votes
    -0.56
    ording
    -0.56
    ,''
    -0.56
    POSITIVE LOGITS
    mble
    0.82
    monster
    0.79
    endor
    0.67
    iphany
    0.65
    CAST
    0.65
    chemist
    0.65
    scl
    0.64
     Slater
    0.64
     Golem
    0.63
    chanted
    0.63
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.