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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. 7-RES-JB
    11. 14568
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    INDEX
    Explanations

    proper nouns related to individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to a particular individual or character

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    holders
    -0.79
    holder
    -0.70
     pony
    -0.66
    houses
    -0.65
    doors
    -0.65
     galleries
    -0.63
    ciation
    -0.63
    ãĤ¤ãĥĪ
    -0.62
     captcha
    -0.61
     peanuts
    -0.61
    POSITIVE LOGITS
    upiter
    1.38
    ealous
    1.25
    ournals
    1.22
    igsaw
    1.16
    umbo
    1.16
    acket
    1.14
    avascript
    1.13
    unction
    1.13
    AMES
    1.13
    ACK
    1.12
    Activations Density 0.025%

    No Known Activations