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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. 8-RES-JB
    11. 20040
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    Explanations

    adjectives describing characteristics or qualities

    oai_token-act-pair · gpt-3.5-turbo

    adjectives describing various qualities and characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.73
    rez
    -0.72
    ourt
    -0.70
    perse
    -0.65
    IRE
    -0.62
    plet
    -0.61
    ribe
    -0.60
    ocations
    -0.60
    vance
    -0.60
    oys
    -0.57
    POSITIVE LOGITS
     enough
    1.65
     Enough
    1.06
    enough
    1.04
     insofar
    0.96
     nonetheless
    0.87
     immensely
    0.82
     beyond
    0.81
     because
    0.81
    ALLY
    0.77
     surpr
    0.74
    Activations Density 0.328%

    No Known Activations