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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. 2-RES-JB
    11. 8226
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    Explanations

    phrases related to intense negative actions or situations

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ITNESS
    -0.90
    avez
    -0.88
    mberg
    -0.82
    ylon
    -0.81
    edia
    -0.79
    irk
    -0.77
    agine
    -0.75
    inoa
    -0.75
    brance
    -0.74
    useum
    -0.74
    POSITIVE LOGITS
    ly
    1.21
     vicious
    0.88
    nesses
    0.81
     earthqu
    0.80
     beasts
    0.79
    ness
    0.77
    iously
    0.75
     adolesc
    0.73
    icious
    0.73
     retribution
    0.70
    Activations Density 0.010%

    No Known Activations