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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. 0-RES-JB
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    Explanations

    personal or company names containing "Ste"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Ste" followed by various numbers or phrases related to that entity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vation
    -0.84
     iv
    -0.73
     recite
    -0.68
     bom
    -0.67
    umn
    -0.66
     nationals
    -0.65
     bum
    -0.65
    NULL
    -0.64
     deprivation
    -0.64
     avail
    -0.62
    POSITIVE LOGITS
     Ste
    3.77
    Ste
    2.19
     ste
    2.09
    ste
    1.92
     STE
    1.86
     steak
    1.34
    STE
    1.31
     Stein
    1.24
     Schwe
    1.20
     steering
    1.17
    Activations Density 0.007%

    No Known Activations