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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. 5225
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    Explanations

    expressions related to the state or quality of something

    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
    enaries
    -0.76
    iates
    -0.73
    atche
    -0.71
    ievers
    -0.66
    heny
    -0.65
    eor
    -0.64
     bidder
    -0.63
    place
    -0.63
    ality
    -0.62
    iate
    -0.62
    POSITIVE LOGITS
     summarized
    1.02
     straightforward
    0.94
     undoubtedly
    0.91
     unclear
    0.91
     astounding
    0.91
     reminiscent
    0.90
     murky
    0.90
    senal
    0.88
     fascinating
    0.87
     complicated
    0.86
    Activations Density 0.252%

    No Known Activations