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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. 9-RES-JB
    11. 23810
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    INDEX
    Explanations

    phrases indicating hope or expectation

    oai_token-act-pair · gpt-3.5-turbo

    expressions of hope or desire

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    resent
    -0.66
    inas
    -0.65
    documented
    -0.64
    cedented
    -0.64
    vol
    -0.61
    minus
    -0.61
    design
    -0.60
    ItemImage
    -0.60
    aving
    -0.59
    VERTISEMENT
    -0.59
    POSITIVE LOGITS
     someday
    0.92
    lessly
    0.82
     unsuccessfully
    0.75
    reprene
    0.75
     to
    0.66
    fully
    0.65
     someone
    0.61
     youngsters
    0.61
     that
    0.60
    IENT
    0.60
    Activations Density 0.030%

    No Known Activations