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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. 7928
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    Explanations

    references to fans and their interactions with various media content

    oai_token-act-pair · gpt-3.5-turbo

    references to fans and their engagement with productions or creators

    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
    tein
    -0.66
     Governor
    -0.62
     Morning
    -0.61
    innon
    -0.61
     Territ
    -0.59
     Labrador
    -0.59
    abus
    -0.59
     Khe
    -0.59
     Sheen
    -0.58
     Morph
    -0.57
    POSITIVE LOGITS
    atical
    1.14
    atics
    1.12
    erv
    1.10
    hip
    1.07
    ubs
    1.06
    haw
    1.05
    hips
    0.99
    atically
    0.96
    boys
    0.95
    hetical
    0.92
    Activations Density 0.034%

    No Known Activations