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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. 11-RES-JB
    11. 6269
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    INDEX
    Explanations

    adverbs or adverbial phrases

    oai_token-act-pair · gpt-3.5-turbo

    key elements and stakeholders involved in narrative or procedural contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    —
    -0.77
    ."
    -0.76
    ,
    -0.74
    .
    -0.73
    ;
    -0.72
    .]
    -0.69
     --
    -0.69
     —
    -0.69
    .'"
    -0.68
    —"
    -0.66
    POSITIVE LOGITS
     analys
    0.62
    ³³³³³³³³
    0.61
     behav
    0.61
    enment
    0.60
     realise
    0.60
    çĶ°
    0.60
     doesnt
    0.59
    uin
    0.59
    20439
    0.59
     independ
    0.58
    Activations Density 1.291%

    No Known Activations