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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. 18777
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    Explanations

    informal statements with a critical or authoritative tone

    oai_token-act-pair · gpt-3.5-turbo

    phrases that involve clauses, particularly those that introduce additional information or descriptions

    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
    peg
    -0.63
     ILCS
    -0.63
    essions
    -0.62
    ango
    -0.61
    amin
    -0.61
    joice
    -0.60
    illard
    -0.60
    ession
    -0.58
    ĺħ
    -0.58
    ances
    -0.57
    POSITIVE LOGITS
    iannopoulos
    0.67
    orative
    0.66
    itsch
    0.63
    enegger
    0.63
     culmin
    0.63
     lasts
    0.62
     lasted
    0.62
     dubbed
    0.62
    assic
    0.62
     showc
    0.61
    Activations Density 0.754%

    No Known Activations