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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. 22323
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    Explanations

    phrases related to cause and effect

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate causation or attribution

    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
    yahoo
    -0.64
    holder
    -0.64
    ura
    -0.63
    ahs
    -0.63
    ath
    -0.62
    anon
    -0.60
    oss
    -0.60
    zon
    -0.60
    mins
    -0.59
    aru
    -0.59
    POSITIVE LOGITS
     partly
    1.07
     solely
    0.89
     chiefly
    0.88
     partially
    0.79
     disproportionately
    0.79
     factors
    0.78
     principally
    0.78
     exacerbated
    0.76
     largely
    0.76
     entirely
    0.76
    Activations Density 0.208%

    No Known Activations