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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. 6-RES-JB
    11. 387
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    Explanations

    specific types or categories of objects or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to various categories or classifications of objects or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    £ı
    -0.85
    IRC
    -0.74
    RET
    -0.72
    false
    -0.70
    andowski
    -0.70
    soDeliveryDate
    -0.69
    elligent
    -0.68
     FANTASY
    -0.65
    pload
    -0.65
    sbm
    -0.65
    POSITIVE LOGITS
    etting
    0.77
     richness
    0.72
     continuum
    0.70
    cles
    0.64
     hierarchy
    0.63
     dictates
    0.63
    etter
    0.62
     richer
    0.61
     mismatch
    0.61
     distribution
    0.60
    Activations Density 0.403%

    No Known Activations