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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. 13004
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    INDEX
    Explanations

    mentions of personal experiences and opinions starting with "I"

    oai_token-act-pair · gpt-3.5-turbo

    first-person pronouns and expressions of personal perspective

    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
     markings
    -0.70
     unfocusedRange
    -0.60
     selves
    -0.59
     adhesive
    -0.58
     electromagnetic
    -0.57
     manifests
    -0.57
     decoration
    -0.57
     nil
    -0.56
     advertisements
    -0.56
     aids
    -0.55
    POSITIVE LOGITS
    rina
    1.12
    nex
    1.09
    vana
    1.07
    ANS
    1.06
    ronic
    1.05
    stanbul
    1.03
    gor
    1.01
    van
    1.00
    EEE
    0.99
    HS
    0.97
    Activations Density 0.165%

    No Known Activations