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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. 3814
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    Explanations

    verbs related to actions and decision-making

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating causation or evaluation of actions

    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
    roma
    -0.71
    estones
    -0.70
     cumbers
    -0.67
    ãĤ¼ãĤ¦ãĤ¹
    -0.63
    adh
    -0.61
    oided
    -0.60
     coffers
    -0.58
     palms
    -0.58
    zbollah
    -0.57
    ysis
    -0.57
    POSITIVE LOGITS
     what
    2.02
    what
    1.69
     whats
    1.60
     WHAT
    1.49
     how
    1.41
     What
    1.34
     where
    1.23
    What
    1.21
     why
    1.21
     who
    1.18
    Activations Density 0.601%

    No Known Activations