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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. 4178
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    Explanations

    words or variations of the word "phen" which may relate to substances, names, or technical terms

    oai_token-act-pair · gpt-3.5-turbo

    references to specific chemicals or compounds, particularly those related to phenotypic variations

    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
    ITED
    -0.88
    glers
    -0.80
    ^^^^
    -0.71
    ITAL
    -0.70
     DISTRICT
    -0.69
    din
    -0.69
     Dear
    -0.68
    HCR
    -0.65
     Federal
    -0.65
     Metropolitan
    -0.64
    POSITIVE LOGITS
    otyp
    1.18
    otypes
    1.02
    phen
    0.99
    oses
    0.96
    ophon
    0.94
    olic
    0.89
    ipe
    0.86
    eter
    0.84
    osis
    0.84
    ographic
    0.83
    Activations Density 0.007%

    No Known Activations