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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. 6-RES-JB
    11. 812
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    Explanations

    words in their gerund form (verbs ending in -ing)

    oai_token-act-pair · gpt-3.5-turbo

    words related to actions or processes that end with 'ing'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    luaj
    -0.76
     Leilan
    -0.71
    iever
    -0.68
    vier
    -0.66
    å£
    -0.66
    netflix
    -0.66
    zn
    -0.65
    mson
    -0.64
    ãĥĩãĤ£
    -0.60
    ãģĤ
    -0.60
    POSITIVE LOGITS
    redients
    1.22
    tons
    1.01
    HAM
    0.78
     Procedure
    0.73
    hots
    0.71
     Procedures
    0.71
    ulate
    0.71
    rates
    0.70
    ially
    0.69
     Mothers
    0.68
    Activations Density 0.102%

    No Known Activations