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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. 0-RES-JB
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    Explanations

    mentions of the word "rough"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "rough" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     authentic
    -0.66
     integrity
    -0.65
     behalf
    -0.64
     ammo
    -0.61
     @@
    -0.61
     amb
    -0.59
     incorporated
    -0.59
     Tsuk
    -0.59
     VAL
    -0.58
     adopted
    -0.57
    POSITIVE LOGITS
    rough
    4.60
     Rough
    1.34
    rought
    1.13
    ough
    1.11
     rough
    1.09
    rouse
    1.08
    raw
    0.99
    along
    0.95
    rell
    0.95
    rows
    0.93
    Activations Density 0.011%

    No Known Activations