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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. 6-RES-JB
    11. 20504
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    Explanations

    strong and impactful words, particularly related to criticism or challenges

    oai_token-act-pair · gpt-3.5-turbo

    words associated with risks, hazards, and cautionary terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Naples
    -0.67
     ---------
    -0.65
    FN
    -0.63
     Kik
    -0.62
    Nap
    -0.61
     Leilan
    -0.61
     Shepard
    -0.61
     Kis
    -0.60
    NS
    -0.59
     �
    -0.59
    POSITIVE LOGITS
    "
    1.11
    "!
    1.06
    "âĢ¦
    1.03
    ",
    1.00
    "—
    0.99
    "],
    0.96
    "?
    0.96
    ";
    0.94
    "]
    0.94
    "/>
    0.93
    Activations Density 0.232%

    No Known Activations