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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. 4-RES-JB
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    Explanations

    adverbs such as 'particularly' and 'especially'

    oai_token-act-pair · gpt-3.5-turbo

    the usage of the words "particularly" and "especially" to emphasize significance

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

    No Comments

    Negative Logits
     demolition
    -0.68
    ruary
    -0.66
    ÅĤ
    -0.66
     Bahamas
    -0.65
    å
    -0.65
     Laos
    -0.65
    glers
    -0.64
    docs
    -0.64
    only
    -0.64
     Register
    -0.63
    POSITIVE LOGITS
     susceptible
    1.01
     noticeable
    0.93
     noteworthy
    0.92
     advantageous
    0.89
     egregious
    0.84
     disadvant
    0.82
     acute
    0.81
     favourable
    0.79
     suited
    0.79
     useful
    0.78
    Activations Density 0.022%

    No Known Activations