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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. 7139
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    Explanations

    words related to qualifications, particularly the term "Qualifying"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to qualifications and qualifying events

    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
     wrinkles
    -0.77
     Lans
    -0.74
     pengu
    -0.74
     DRAG
    -0.71
    ĸļ
    -0.68
     Spice
    -0.68
     Strauss
    -0.68
    OHN
    -0.67
     Sparrow
    -0.67
     spinach
    -0.67
    POSITIVE LOGITS
    ifiers
    1.35
    ifying
    1.31
    ifier
    1.25
    ified
    1.24
    ifications
    1.23
    ifies
    1.23
    ities
    1.20
    itative
    1.17
    itatively
    1.13
    idad
    1.09
    Activations Density 0.008%

    No Known Activations