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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. 9-RES-JB
    11. 5671
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     (?,
    -0.66
    .:
    -0.65
    sburgh
    -0.65
    .;
    -0.65
     ([
    -0.63
     âĵĺ
    -0.60
    rive
    -0.59
    td
    -0.58
     +/-
    -0.58
    mop
    -0.57
    POSITIVE LOGITS
     echoed
    0.98
     unheard
    0.86
     exacerbated
    0.86
     presumably
    0.80
     reminiscent
    0.80
     akin
    0.76
     apparently
    0.74
     incidentally
    0.73
     admittedly
    0.72
     which
    0.72
    Activations Density 0.263%

    No Known Activations