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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. 5106
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    INDEX
    Explanations

    proper nouns or names, specifically likely person or character names

    oai_token-act-pair · gpt-3.5-turbo

    words or terms associated with specific names or titles

    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
    STON
    -0.81
    cloth
    -0.70
     exception
    -0.58
     hell
    -0.57
    detail
    -0.57
    ©¶æ
    -0.57
    Details
    -0.55
    BLE
    -0.55
    benefit
    -0.53
     homeland
    -0.53
    POSITIVE LOGITS
    te
    1.27
    sov
    1.21
    own
    1.19
    zsche
    1.17
    rix
    1.11
    chev
    1.08
    ronics
    1.07
    zes
    1.06
    zman
    1.04
    OWN
    1.03
    Activations Density 0.151%

    No Known Activations