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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. 0-RES-JB
    11. 12595
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    Explanations

    phrases related to a specific topic or event, such as "the Situation" or "Reason 5"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific situations and reasons related to events or occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    azel
    -0.70
     lymph
    -0.65
    ipp
    -0.65
     unfocusedRange
    -0.65
     breast
    -0.65
     tattoos
    -0.64
    raft
    -0.63
    AMP
    -0.63
     lip
    -0.61
     obesity
    -0.61
    POSITIVE LOGITS
     Situation
    3.32
     Reason
    1.98
    Reason
    1.31
     Problem
    1.18
    Problem
    1.17
    Sit
    1.15
     Emerson
    1.11
     Chemical
    0.97
    reason
    0.97
    olicy
    0.94
    Activations Density 0.059%

    No Known Activations