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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. 3-RES-JB
    11. 2872
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    Explanations

    names related to individuals, especially those ending with 'odor'

    oai_token-act-pair · gpt-3.5-turbo

    references to scents or odors

    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
    birth
    -0.74
    cedented
    -0.69
    ples
    -0.66
    peak
    -0.65
     pasture
    -0.62
    yip
    -0.61
     Kiw
    -0.60
     confidentiality
    -0.59
     cabin
    -0.58
     Mara
    -0.58
    POSITIVE LOGITS
    owsky
    1.15
    odor
    1.14
    ovich
    1.03
    ovic
    1.00
    oslav
    0.98
    opoulos
    0.91
    mson
    0.85
    oso
    0.84
    osaurs
    0.84
    oki
    0.84
    Activations Density 0.016%

    No Known Activations