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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. 10-RES-JB
    11. 5553
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    Explanations

    phrases related to participation or involvement in various activities

    oai_token-act-pair · gpt-3.5-turbo

    topics related to community involvement and participation in discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osponsors
    -0.79
    ply
    -0.69
     starters
    -0.68
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.65
    available
    -0.64
    intendent
    -0.64
    wered
    -0.64
    matched
    -0.63
    icator
    -0.62
    mates
    -0.62
    POSITIVE LOGITS
     deliberations
    1.24
     fray
    1.15
     discussions
    1.15
     endeavor
    1.12
     endeavour
    1.11
     proceedings
    1.10
     festivities
    1.07
     affairs
    1.06
     process
    1.01
     endeavors
    1.00
    Activations Density 0.266%

    No Known Activations