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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. 11336
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    Explanations

    phrases related to policy recommendations and actions

    oai_token-act-pair · gpt-3.5-turbo

    references to decision-making entities and their responsibilities in various contexts

    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
    ONSORED
    -0.73
    TX
    -0.70
     Valkyrie
    -0.64
     Kills
    -0.63
    izont
    -0.62
    éŃĶ
    -0.61
     belongs
    -0.60
    cap
    -0.59
     Maver
    -0.59
    Pure
    -0.58
    POSITIVE LOGITS
     routinely
    1.15
     increasingly
    1.03
    ateurs
    0.95
     often
    0.94
     grapple
    0.94
     grappling
    0.93
     alike
    0.92
     reluctant
    0.91
     scrutin
    0.91
     wary
    0.90
    Activations Density 0.457%

    No Known Activations