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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. 7-RES-JB
    11. 9688
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    advocacy statements and arguments

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Journalism
    -0.58
     Originally
    -0.55
    *)
    -0.54
     Cinema
    -0.53
     [+
    -0.53
     Belfast
    -0.52
    inus
    -0.52
     *)
    -0.52
     consisted
    -0.50
     Presidents
    -0.49
    POSITIVE LOGITS
    etheless
    0.88
     anyway
    0.69
     anymore
    0.67
    %.
    0.64
    EStream
    0.63
     attRot
    0.63
    anything
    0.63
     theirs
    0.62
    åĮ
    0.60
     altogether
    0.60
    Activations Density 1.378%

    No Known Activations