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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
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    Explanations

    words related to positive experiences or feelings

    oai_token-act-pair · gpt-3.5-turbo

    words related to pleasant and unpleasant experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    ithing
    -0.67
    itsch
    -0.67
    ARE
    -0.66
    eded
    -0.65
    FT
    -0.65
    avis
    -0.65
    container
    -0.64
    ARS
    -0.64
    acons
    -0.63
    HER
    -0.63
    POSITIVE LOGITS
     pleasant
    1.07
    ries
    0.99
     surprises
    0.94
    lihood
    0.92
     unpleasant
    0.89
    ness
    0.85
    ãĥ¼ãĥĨ
    0.83
    ties
    0.80
    pleasant
    0.79
     surpr
    0.78
    Activations Density 0.013%

    No Known Activations