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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. 3-RES-JB
    11. 12759
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    INDEX
    Explanations

    references to performing actions or tasks

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter "a"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĢİ
    -0.78
    Govern
    -0.75
    evidence
    -0.74
     Amnesty
    -0.72
     abortions
    -0.72
    reports
    -0.71
    Hon
    -0.71
    Gov
    -0.71
    Austral
    -0.70
    Attempts
    -0.70
    POSITIVE LOGITS
     bunch
    1.17
     lot
    1.14
    uras
    1.07
     plethora
    1.01
     few
    1.01
     couple
    1.01
     variety
    0.99
     single
    0.98
     simple
    0.97
     multitude
    0.96
    Activations Density 0.939%

    No Known Activations