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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. 6-RES-JB
    11. 1478
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    INDEX
    Explanations

    perceived concepts or ideas

    oai_token-act-pair · gpt-3.5-turbo

    references to perceptions or beliefs about situations and people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etts
    -0.81
    istration
    -0.74
    akura
    -0.73
    raid
    -0.73
    kers
    -0.73
    hire
    -0.71
    packed
    -0.70
    unny
    -0.69
    ercise
    -0.68
    driver
    -0.68
    POSITIVE LOGITS
     conflic
    0.89
     perceptions
    0.84
     recoil
    0.83
    wcsstore
    0.82
     metic
    0.79
     cumbers
    0.79
     attractiveness
    0.77
     animosity
    0.74
    TI
    0.74
     hostility
    0.71
    Activations Density 0.027%

    No Known Activations