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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 2898
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    Explanations

    phrases related to quick actions or responses

    oai_token-act-pair · gpt-3.5-turbo

    the word "Quick" and its variations in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OHN
    -0.67
    midt
    -0.63
    #$#$
    -0.63
    gypt
    -0.62
    ationally
    -0.61
    ICAN
    -0.61
    MIC
    -0.60
     Mayhem
    -0.60
     Hawth
    -0.59
     Heights
    -0.59
    POSITIVE LOGITS
    ening
    1.28
    ened
    1.25
    lime
    1.21
    fix
    1.12
    eners
    1.05
     turnaround
    1.04
    fixes
    1.03
    draw
    1.02
    idious
    0.98
    ener
    0.97
    Activations Density 0.046%

    No Known Activations