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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. 4-RES-JB
    11. 13297
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    Explanations

    phrases related to locations and events

    oai_token-act-pair · gpt-3.5-turbo

    instances of specific symbols or characters in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     shred
    -0.70
     appro
    -0.68
     sequels
    -0.68
     shade
    -0.66
     blo
    -0.66
     rele
    -0.64
     foreseeable
    -0.63
     proportion
    -0.63
     organisms
    -0.63
     cabinets
    -0.63
    POSITIVE LOGITS
    FIELD
    0.84
    VEL
    0.78
    */(
    0.77
    estern
    0.76
    hester
    0.76
    POL
    0.76
    GROUND
    0.75
    ENG
    0.75
     Protesters
    0.75
    VIEW
    0.75
    Activations Density 0.064%

    No Known Activations