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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 7995
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    Explanations

    phrases that incite action or excitement

    oai_token-act-pair · gpt-3.5-turbo

    exclamatory or emphatic expressions often related to reactions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Chin
    -0.72
     Cyr
    -0.72
     Aram
    -0.68
     Kaw
    -0.67
     Nass
    -0.66
     Chaff
    -0.66
     Chapman
    -0.65
    ©¶æ
    -0.65
     Shap
    -0.65
     Beir
    -0.64
    POSITIVE LOGITS
    !:
    1.41
    !'
    1.41
    !.
    1.36
    !,
    1.36
    !
    1.34
    !'"
    1.20
    !".
    1.14
    !"
    1.13
    !",
    1.12
    !]
    1.10
    Activations Density 0.201%

    No Known Activations