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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. 12-RES-JB
    11. 3753
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    INDEX
    Explanations

    phrases related to capturing, seizing, or stopping something/someone

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    words related to being apprehended or detected

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    ifice
    -0.77
    die
    -0.67
    advertising
    -0.62
     behalf
    -0.62
    ר
    -0.62
    venge
    -0.62
    ĸļ
    -0.59
    ucer
    -0.58
    estine
    -0.58
    Family
    -0.58
    POSITIVE LOGITS
     glimps
    1.04
     fire
    1.03
     sight
    1.03
     wind
    1.02
     pneumonia
    0.90
     glimpse
    0.89
    phrase
    0.84
     flames
    0.80
     up
    0.77
     snippets
    0.75
    Activations Density 0.051%

    No Known Activations