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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. 7-RES-JB
    11. 24128
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    Explanations

    words related to narrative storytelling, particularly with a focus on character development and plot progression

    oai_token-act-pair · gpt-3.5-turbo

    repeated instances of a particular name or term

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĨĴ
    -0.81
    lasses
    -0.80
    xual
    -0.73
     Pixie
    -0.73
    dayName
    -0.73
    ku
    -0.66
    chal
    -0.64
    olithic
    -0.63
    manship
    -0.63
    utral
    -0.61
    POSITIVE LOGITS
    agher
    1.08
    agh
    0.96
    anging
    0.95
    ago
    0.92
    abal
    0.92
    INGTON
    0.91
    issa
    0.90
    anged
    0.88
    abilia
    0.88
    abis
    0.88
    Activations Density 0.022%

    No Known Activations