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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. 1-RES-JB
    11. 3480
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    INDEX
    Explanations

    words related to searching, evaluating, or examining something, often in the context of a review or assessment

    oai_token-act-pair · gpt-3.5-turbo

    the concept of "screening" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wp
    -0.72
    elin
    -0.71
    eph
    -0.70
    kell
    -0.68
    Else
    -0.68
    mel
    -0.67
    orld
    -0.67
    rez
    -0.66
    hire
    -0.66
    rian
    -0.65
    POSITIVE LOGITS
     screenings
    1.73
     screening
    1.65
     screened
    1.08
     screens
    0.97
     Screen
    0.96
     screen
    0.86
     clearance
    0.80
     theaters
    0.79
    Screen
    0.76
    culosis
    0.74
    Activations Density 0.006%

    No Known Activations