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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. 8-RES-JB
    11. 23509
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    Explanations

    phrases indicating a sense of responsibility or purpose

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating roles or identities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    upt
    -0.70
    yang
    -0.63
    GES
    -0.62
    oller
    -0.62
    itative
    -0.58
    ãĥį
    -0.58
    è£ħ
    -0.57
    ength
    -0.56
    amac
    -0.56
    в
    -0.56
    POSITIVE LOGITS
     regards
    1.16
    pired
    1.15
    pires
    1.00
     opposed
    0.89
    piring
    0.83
    pire
    0.83
    part
    0.82
     evidenced
    0.80
    pers
    0.79
    pects
    0.79
    Activations Density 0.194%

    No Known Activations