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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    expressions of hope or positive outlook

    oai_token-act-pair · gpt-3.5-turbo

    expressions of hope or optimism

    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
    pes
    -0.78
    versions
    -0.78
    VERTISEMENT
    -0.72
    cit
    -0.71
    thus
    -0.71
    Issue
    -0.70
    eas
    -0.68
    Studies
    -0.67
    cial
    -0.65
    limits
    -0.64
    POSITIVE LOGITS
    lessly
    0.94
     hope
    0.84
     Hope
    0.71
     unborn
    0.70
    fully
    0.67
     someday
    0.67
    llor
    0.65
    bringer
    0.64
     optimism
    0.64
     Petr
    0.64
    Activations Density 0.022%

    No Known Activations