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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. 11-RES-JB
    11. 20539
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    Explanations

    references to television episodes or shows

    oai_token-act-pair · gpt-3.5-turbo

    mentions of television episodes and their features

    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
    pdf
    -0.81
    PDF
    -0.77
    agate
    -0.75
     envis
    -0.69
    mop
    -0.68
    urat
    -0.67
    ilit
    -0.65
    adra
    -0.65
    umbai
    -0.65
    ridges
    -0.64
    POSITIVE LOGITS
     guest
    1.39
     guests
    1.33
     comedians
    1.30
     announcer
    1.29
     comedian
    1.28
     Guests
    1.26
     presenter
    1.19
     announ
    1.16
     hosts
    1.16
    Guest
    1.15
    Activations Density 0.584%

    No Known Activations