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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. 20613
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    INDEX
    Explanations

    words related to television shows or programs

    oai_token-act-pair · gpt-3.5-turbo

    the frequency of media content being aired

    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
    llan
    -0.88
    ansson
    -0.74
    ortium
    -0.72
     Fraz
    -0.70
    ledge
    -0.69
    usalem
    -0.69
    nton
    -0.67
    leans
    -0.65
    ilde
    -0.65
    acqu
    -0.65
    POSITIVE LOGITS
    waves
    1.05
     airing
    0.97
    ONY
    0.97
     aired
    0.90
    caster
    0.82
     airs
    0.80
    casting
    0.78
     microphones
    0.77
     Parenthood
    0.77
    ãĥ£
    0.75
    Activations Density 0.033%

    No Known Activations