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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. 2354
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    Explanations

    terms related to significant achievements or events

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the article "a" in various contexts

    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
    notes
    -0.82
    coins
    -0.80
    lime
    -0.73
     examiner
    -0.72
    Edit
    -0.72
    AIDS
    -0.71
    ends
    -0.69
    onge
    -0.69
    encies
    -0.67
     Observatory
    -0.67
    POSITIVE LOGITS
     slew
    1.15
     whopping
    1.08
     plethora
    1.03
     bunch
    1.02
     terrific
    1.01
     matchup
    1.00
     bye
    0.99
     hefty
    0.98
     hamstring
    0.98
     handful
    0.98
    Activations Density 0.213%

    No Known Activations