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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. 4-RES-JB
    11. 16205
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    Explanations

    phrases indicating a state of urgency or crisis

    oai_token-act-pair · gpt-3.5-turbo

    instances of the preposition "in"

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

    No Comments

    Negative Logits
    SHIP
    -0.75
    soever
    -0.72
     VIDEOS
    -0.69
    SourceFile
    -0.67
     wors
    -0.65
    Includes
    -0.65
     explains
    -0.64
     intimid
    -0.64
    til
    -0.62
    tions
    -0.62
    POSITIVE LOGITS
    escap
    1.15
    animate
    1.09
    clus
    1.07
    bred
    1.06
    ordinate
    1.03
    operative
    1.00
    visible
    0.99
    cluded
    0.98
    ked
    0.97
    strument
    0.95
    Activations Density 0.229%

    No Known Activations