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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. 1-RES-JB
    11. 23292
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    Explanations

    phrases related to specific locations such as airports, industrial estates, and specific company names

    oai_token-act-pair · gpt-3.5-turbo

    references to legal and regulatory frameworks, particularly related to sports and activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ£
    -0.70
    pton
    -0.66
    Ü
    -0.66
     dash
    -0.64
    ©¶æ
    -0.63
    iron
    -0.62
    ĪĴ
    -0.62
    ptic
    -0.61
     coh
    -0.59
    session
    -0.57
    POSITIVE LOGITS
    orts
    1.80
    orting
    1.32
    ort
    1.28
    orted
    1.20
    ORT
    1.07
    orter
    0.89
    leeve
    0.89
    ORTS
    0.87
    ugal
    0.87
    raits
    0.77
    Activations Density 0.005%

    No Known Activations