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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. 11-RES-JB
    11. 10317
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    Explanations

    highlights of events or activities

    oai_token-act-pair · gpt-3.5-turbo

    key elements related to storytelling and narrative structure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    senal
    -0.63
    ©¶æ¥µ
    -0.58
    ophon
    -0.52
    icist
    -0.51
     Samp
    -0.50
    ukong
    -0.50
     Changed
    -0.50
     ])
    -0.49
     pestic
    -0.49
    ?????-
    -0.49
    POSITIVE LOGITS
     whilst
    1.03
     amidst
    0.98
    âĢ
    0.92
     before
    0.87
     while
    0.86
    ̶
    0.81
     prior
    0.80
     onto
    0.79
    ahead
    0.79
    0.78
    Activations Density 0.847%

    No Known Activations