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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. 11406
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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
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    Negative Logits
     nodd
    -0.89
    luaj
    -0.79
    quit
    -0.77
     describ
    -0.75
    etheless
    -0.75
    bul
    -0.74
    bestos
    -0.73
    mph
    -0.72
    ãĤ¨ãĥ«
    -0.71
    ItemImage
    -0.71
    POSITIVE LOGITS
    aneers
    0.75
    aters
    0.69
     Targ
    0.66
     Catalyst
    0.65
    ITION
    0.65
    ition
    0.64
    rell
    0.64
    ater
    0.63
    ASE
    0.63
     Tennessee
    0.61
    Activations Density 0.000%

    No Known Activations

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