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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. 9472
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    Explanations

    negative affiliations or actions in sentences

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating negation or absence of action

    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
    Maker
    -0.79
    stakes
    -0.78
    ership
    -0.75
    wrapper
    -0.74
    interstitial
    -0.73
    Reader
    -0.72
    former
    -0.69
    itiz
    -0.69
    Spr
    -0.68
    soDeliveryDate
    -0.68
    POSITIVE LOGITS
     necessarily
    1.16
    icably
    1.09
     hesitate
    1.07
     bother
    1.00
     adequately
    0.93
     foresee
    0.91
     exactly
    0.91
    icable
    0.85
     disappoint
    0.84
     exist
    0.82
    Activations Density 0.117%

    No Known Activations