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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. 826
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    Explanations

    specific items or topics mentioned in a discussion

    oai_token-act-pair · gpt-3.5-turbo

    references to specific topics or subjects that are being questioned

    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
    azon
    -0.89
    rush
    -0.83
    lett
    -0.79
    anium
    -0.74
    ript
    -0.74
    ont
    -0.73
     corrid
    -0.72
    urd
    -0.72
    iliar
    -0.72
    ntil
    -0.72
    POSITIVE LOGITS
    naires
    1.00
     posed
    0.75
    naire
    0.73
     Austrian
    0.66
     arises
    0.61
     Socialist
    0.60
    FACE
    0.59
     wording
    0.59
     Deity
    0.58
     stemmed
    0.57
    Activations Density 0.017%

    No Known Activations