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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. 11-RES-JB
    6. 3709
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    Explanations

    mentions of products related to personal care and cleaning, particularly foaming products

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the syllable "fo" or variations thereof

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pur
    -0.71
    mun
    -0.69
    tan
    -0.65
     mileage
    -0.65
    tap
    -0.63
    nah
    -0.63
    mus
    -0.63
    SAN
    -0.62
     Purpose
    -0.59
    代
    -0.58
    POSITIVE LOGITS
    obar
    1.32
    etus
    1.27
    xt
    1.21
    aming
    1.17
    ils
    1.12
    zzy
    1.09
    iled
    1.08
    oster
    1.08
    ogle
    1.08
    LLOW
    1.07
    Activations Density 0.049%

    No Known Activations