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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. 7697
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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
    anski
    -0.82
    ajor
    -0.81
    izophren
    -0.75
    Gas
    -0.75
    APD
    -0.74
    channelAvailability
    -0.72
    Distance
    -0.71
    =-=-
    -0.71
     Asylum
    -0.68
    ————————
    -0.68
    POSITIVE LOGITS
    lings
    0.72
    ea
    0.71
     seal
    0.67
    wrapper
    0.65
     perf
    0.64
     FANT
    0.64
    authorized
    0.63
    actions
    0.63
    bda
    0.62
     tongue
    0.59
    Activations Density 0.000%

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