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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. 12457
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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
    Accessory
    -0.81
     actionGroup
    -0.75
    £ı
    -0.73
    enger
    -0.71
     guiActiveUnfocused
    -0.69
     latch
    -0.68
    itizen
    -0.66
    Sensor
    -0.65
    esty
    -0.65
    estic
    -0.64
    POSITIVE LOGITS
    Sov
    0.74
    È
    0.73
    URR
    0.70
    ?]
    0.66
    emetery
    0.65
    ja
    0.64
    Ja
    0.64
    Afee
    0.63
    uca
    0.63
     Merrill
    0.63
    Activations Density 0.000%

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