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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. 10-RES-JB
    11. 4849
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    illon
    -0.79
     pse
    -0.74
    orum
    -0.64
    ancies
    -0.63
    ylon
    -0.60
    ulous
    -0.59
     Closing
    -0.56
    TON
    -0.56
     privilege
    -0.55
    theless
    -0.55
    POSITIVE LOGITS
     toward
    1.21
     towards
    1.18
    butt
    0.97
     downwards
    0.94
     into
    0.91
     west
    0.91
     straight
    0.90
     north
    0.89
     east
    0.88
     south
    0.86
    Activations Density 0.033%

    No Known Activations