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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. 9-RES-JB
    11. 5752
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    Explanations

    prefixes representing superiority or precedence, such as "pre-", and related words and concepts

    oai_token-act-pair · gpt-3.5-turbo

    prefix-related words and terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    =-=-=-=-=-=-=-=-
    -0.75
    Lago
    -0.67
    Lens
    -0.66
    =-=-=-=-
    -0.65
     Woodward
    -0.64
    ãĤ´ãĥ³
    -0.63
     behavi
    -0.62
     eminent
    -0.62
    witch
    -0.61
    ONSORED
    -0.60
    POSITIVE LOGITS
    atural
    1.01
    umatic
    0.91
    ptive
    0.83
    ilial
    0.82
    ariat
    0.82
    ursed
    0.80
    essors
    0.79
    incial
    0.79
    uberty
    0.79
    aphael
    0.78
    Activations Density 0.084%

    No Known Activations