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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. 3-RES-JB
    11. 286
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    Explanations

    words related to safety and protection, specifically focusing on items described as 'proof'

    oai_token-act-pair · gpt-3.5-turbo

    words related to various forms of protection or resistance against elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ETA
    -0.75
     Peninsula
    -0.73
    OPA
    -0.72
    riminal
    -0.67
    REDACTED
    -0.65
    çĶ°
    -0.64
    avez
    -0.63
    luence
    -0.62
    OTA
    -0.62
    DCS
    -0.62
    POSITIVE LOGITS
    proof
    0.87
    ĪĴ
    0.87
    otype
    0.82
    ingen
    0.81
    atives
    0.80
    ging
    0.77
    otypes
    0.77
    glass
    0.77
    ing
    0.75
     coat
    0.73
    Activations Density 0.010%

    No Known Activations