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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 3469
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    Explanations

    contractions with 'won' (short for 'will not') in the context of instructions or advice

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "won't" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OTOS
    -0.71
    mens
    -0.66
    illin
    -0.63
    resa
    -0.60
    mans
    -0.60
    guns
    -0.59
    repre
    -0.59
     giants
    -0.58
    angering
    -0.58
    men
    -0.58
    POSITIVE LOGITS
    't
    1.19
    itive
    0.80
    tyard
    0.71
    now
    0.70
    ners
    0.68
    ald
    0.67
    cest
    0.66
     decisively
    0.66
    nings
    0.65
    rar
    0.64
    Activations Density 0.022%

    No Known Activations