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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. 0-RES-JB
    6. 6196
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    INDEX
    Explanations

    expressions related to positive remarks or exclamation, particularly emphasizing goodness

    oai_token-act-pair · gpt-3.5-turbo

    mentions of happiness or positivity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Photograph
    -0.69
    isol
    -0.67
    yna
    -0.64
    idas
    -0.64
    perate
    -0.63
     cited
    -0.62
    istar
    -0.61
     Psychiatric
    -0.61
    ittees
    -0.61
     financially
    -0.60
    POSITIVE LOGITS
     goodness
    4.17
     greatness
    1.53
     goodies
    1.44
     sweetness
    1.37
     kindness
    1.32
     heaven
    1.31
     generosity
    1.30
     richness
    1.30
     righteousness
    1.20
     virtues
    1.15
    Activations Density 0.014%

    No Known Activations