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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. 16289
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    Explanations

    references to the role of a groom or grooming activities

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "grooming" 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
    self
    -0.78
    alm
    -0.71
    sol
    -0.69
    rael
    -0.67
     kindred
    -0.66
     salv
    -0.66
    odic
    -0.64
    abel
    -0.63
    ukong
    -0.63
    oling
    -0.62
    POSITIVE LOGITS
     grooming
    1.05
    tesque
    1.00
     groom
    0.93
    =#
    0.80
    ãħĭãħĭ
    0.78
    apons
    0.78
    culosis
    0.77
    EStream
    0.74
    Ł
    0.71
    Ħ¢
    0.71
    Activations Density 0.026%

    No Known Activations