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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. 10869
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    INDEX
    Explanations

    mentions of "Hall of Fame"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Hall of Fame in various contexts

    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
     eleph
    -0.69
     Gork
    -0.65
    orporated
    -0.62
    itars
    -0.62
    phrine
    -0.60
    ting
    -0.60
    ossibility
    -0.59
     Copy
    -0.58
     nib
    -0.57
    olean
    -0.57
    POSITIVE LOGITS
    iday
    1.53
    ibur
    1.27
    owed
    1.18
    aday
    1.14
    oran
    1.14
    ows
    1.14
    marks
    1.14
    ways
    1.11
    way
    1.06
    gren
    1.00
    Activations Density 0.028%

    No Known Activations