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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. 6891
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    Explanations

    phrases related to actions that involve forcefully getting rid of something

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to actions of discarding, showing, and completing

    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
    ulate
    -0.77
    kaya
    -0.75
    ulin
    -0.73
    ulator
    -0.70
    awei
    -0.70
    ulates
    -0.69
    izoph
    -0.68
    ocrates
    -0.67
    olar
    -0.66
    yrinth
    -0.65
    POSITIVE LOGITS
     aback
    0.83
     MAD
    0.63
     lovers
    0.62
    buff
    0.61
     awa
    0.61
    washed
    0.61
     skipping
    0.60
     Away
    0.59
     Bagg
    0.59
     behold
    0.58
    Activations Density 0.145%

    No Known Activations