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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. 9726
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    Explanations

    mentions of various versions of Windows operating systems

    oai_token-act-pair · gpt-3.5-turbo

    terms related to fashion and style

    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
    MENTS
    -0.89
    ilater
    -0.74
    lying
    -0.73
    trak
    -0.73
    orate
    -0.72
    ties
    -0.72
    lessly
    -0.70
    shaw
    -0.69
    croft
    -0.69
    nam
    -0.69
    POSITIVE LOGITS
    ignt
    0.84
    zzi
    0.82
    uto
    0.80
     Libre
    0.79
    uthor
    0.79
    ista
    0.78
    zza
    0.76
     da
    0.74
     Dia
    0.73
    zzle
    0.72
    Activations Density 0.010%

    No Known Activations