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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. 9-RES-JB
    11. 16243
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    Explanations

    names and titles of individuals written in a specific format with an unusual frequency of recurrent patterns in their names

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 'l'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TOP
    -0.64
    TPS
    -0.63
    BUR
    -0.62
    hyde
    -0.60
     throats
    -0.59
     dime
    -0.58
     differential
    -0.58
    Production
    -0.58
     Perspective
    -0.57
    dden
    -0.56
    POSITIVE LOGITS
    uay
    1.03
    andise
    0.90
    iani
    0.89
    vernment
    0.85
    ê
    0.81
    orno
    0.78
    iru
    0.77
    ribune
    0.77
    ultural
    0.76
    eta
    0.75
    Activations Density 0.262%

    No Known Activations