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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. 9819
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    Explanations

    mentions of specific "Montero" models or characters tied to the term "Montero"

    oai_token-act-pair · gpt-3.5-turbo

    words related to various types of media and entertainment products

    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
    stood
    -0.64
     coordin
    -0.61
    enegger
    -0.61
     trustees
    -0.59
    ynt
    -0.58
     whistleblowers
    -0.58
     actionGroup
    -0.58
    gerald
    -0.58
    BW
    -0.58
     offsets
    -0.57
    POSITIVE LOGITS
    liction
    0.75
    obe
    0.67
    thia
    0.67
    jong
    0.66
     Sunrise
    0.66
    illard
    0.65
    tick
    0.64
    phrine
    0.64
    atra
    0.64
    ctica
    0.63
    Activations Density 0.070%

    No Known Activations