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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. 8-RES-JB
    11. 5051
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    Explanations

    negative statements about specific situations that are unwanted

    oai_token-act-pair · gpt-3.5-turbo

    references to "the last thing" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ped
    -0.71
    irs
    -0.69
    sub
    -0.67
    aden
    -0.64
    ori
    -0.63
     surrogate
    -0.63
    ramids
    -0.62
    inav
    -0.62
    rod
    -0.62
    sim
    -0.61
    POSITIVE LOGITS
     happened
    0.80
     imaginable
    0.80
     happens
    0.76
     happening
    0.72
    oward
    0.72
     anybody
    0.70
     billionaires
    0.69
     Browne
    0.68
    soever
    0.67
     else
    0.65
    Activations Density 0.023%

    No Known Activations