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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. 0-RES-JB
    6. 17570
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    Explanations

    the word "essentially" with high activation values

    oai_token-act-pair · gpt-3.5-turbo

    the word "essentially" and its variants, indicating a focus on defining or clarifying concepts

    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
    Ey
    -0.68
    "},{"
    -0.64
     !
    -0.64
    Known
    -0.60
    ft
    -0.60
    !
    -0.59
     Passion
    -0.59
    fal
    -0.58
    icy
    -0.58
    ieth
    -0.57
    POSITIVE LOGITS
     essentially
    3.05
     basically
    2.62
     effectively
    1.82
     fundamentally
    1.70
     ostensibly
    1.63
     virtually
    1.54
     literally
    1.49
     largely
    1.48
     practically
    1.46
     Essentially
    1.44
    Activations Density 0.013%

    No Known Activations