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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. 12-RES-JB
    11. 5048
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    INDEX
    Explanations

    strong descriptive adjectives

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    actions or behaviors that suggest manipulation or dishonesty

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     MFT
    -0.77
    arial
    -0.75
    esthetic
    -0.75
    antine
    -0.74
    onding
    -0.71
    ulous
    -0.71
    aceae
    -0.69
    heid
    -0.69
    urance
    -0.65
    olition
    -0.65
    POSITIVE LOGITS
    heartedly
    1.10
    handedly
    1.00
    feed
    0.80
    bat
    0.80
    checks
    0.79
    ped
    0.77
    wash
    0.76
    mails
    0.76
     tune
    0.74
    link
    0.73
    Activations Density 0.139%

    No Known Activations