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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. 4-RES-JB
    11. 1216
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    Explanations

    words related to fast or rapid processes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to repetitive production or output, particularly in contexts of negative consequences

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

    No Comments

    Negative Logits
     resemblance
    -0.77
     Telesc
    -0.68
    ribute
    -0.66
    ĻĤ
    -0.65
    pha
    -0.65
     touch
    -0.64
    sighted
    -0.62
     Scotia
    -0.61
     Authority
    -0.61
     Telescope
    -0.60
    POSITIVE LOGITS
     churn
    1.15
    ing
    1.12
    ed
    0.91
    edIn
    0.89
    ingen
    0.85
    ffield
    0.82
    icer
    0.81
    iflower
    0.79
    ular
    0.76
    zeb
    0.75
    Activations Density 0.017%

    No Known Activations