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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. 2-RES-JB
    11. 14965
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Dise
    -0.80
    aco
    -0.76
     inflamm
    -0.67
    ñ
    -0.63
    Ĥª
    -0.63
    undai
    -0.61
     weap
    -0.61
    ADRA
    -0.60
     proceeds
    -0.60
     Hab
    -0.58
    POSITIVE LOGITS
    osaurs
    0.74
    ification
    0.72
    ivalent
    0.72
    rans
    0.71
    itiveness
    0.69
    ified
    0.66
    pmwiki
    0.66
    osexual
    0.66
    agonists
    0.65
    rail
    0.64
    Activations Density 0.000%

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