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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. 7-RES-JB
    11. 5124
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    Explanations

    instances of actions being performed despite certain conditions or obstacles

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "despite" indicating contrasting situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ahime
    -0.85
    oyd
    -0.84
    iem
    -0.84
    eg
    -0.80
    vantage
    -0.79
    abulary
    -0.79
    asus
    -0.78
    venture
    -0.77
    raq
    -0.77
    resa
    -0.76
    POSITIVE LOGITS
     admitting
    0.91
     having
    0.90
     assurances
    0.86
     insisting
    0.84
     objections
    0.84
     knowing
    0.83
     denying
    0.83
     acknowledging
    0.83
     lacking
    0.82
     seeming
    0.80
    Activations Density 0.039%

    No Known Activations