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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. 1168
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    Explanations

    negative statements about a particular business partnership

    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
     Reborn
    -0.84
    ELD
    -0.73
    grounds
    -0.71
    Redd
    -0.71
     srfAttach
    -0.65
    venue
    -0.63
    assed
    -0.62
    established
    -0.62
    adra
    -0.61
    contin
    -0.58
    POSITIVE LOGITS
     hesitate
    1.48
     worry
    1.45
     forget
    1.42
     underestimate
    1.39
     expect
    1.24
     confuse
    1.23
     fret
    1.20
     bother
    1.19
     misunderstand
    1.15
     panic
    1.15
    Activations Density 0.048%

    No Known Activations