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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. 16864
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    Explanations

    proper nouns or names

    oai_token-act-pair · gpt-3.5-turbo

    instances of the letter 'e'

    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
    ategory
    -0.77
    lime
    -0.74
    anova
    -0.73
    iets
    -0.71
    itational
    -0.69
    irtual
    -0.69
     ESA
    -0.68
    rooms
    -0.68
     glim
    -0.67
    s
    -0.67
    POSITIVE LOGITS
    lements
    1.31
    cki
    1.10
    gger
    1.08
    zza
    1.07
    ck
    1.05
    agle
    1.05
    cker
    1.04
    agles
    1.03
    ld
    1.01
    gan
    0.98
    Activations Density 0.043%

    No Known Activations