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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. 12978
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    INDEX
    Explanations

    personal pronouns 'I' and 'I've' along with statements related to past actions or plans

    oai_token-act-pair · gpt-3.5-turbo

    phrases or sentences where the author references themselves

    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
     endif
    -0.83
     Rolls
    -0.75
    advertising
    -0.67
     Bottom
    -0.66
     Definitions
    -0.66
     escal
    -0.65
     tides
    -0.61
     Falls
    -0.60
     masks
    -0.58
    cedes
    -0.58
    POSITIVE LOGITS
    aido
    1.11
    'm
    1.10
     am
    1.01
    AAF
    0.99
    've
    0.97
    OTA
    0.92
    ACP
    0.92
    ETF
    0.89
    RL
    0.88
     participated
    0.88
    Activations Density 0.171%

    No Known Activations