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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. 4-RES-JB
    11. 6812
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    Explanations

    verbs related to excelling or standing out

    oai_token-act-pair · gpt-3.5-turbo

    the word "shine" and its variations in different contexts

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

    No Comments

    Negative Logits
    remlin
    -0.75
    hus
    -0.71
    ravel
    -0.70
    essor
    -0.70
    urally
    -0.69
    tarian
    -0.68
    assian
    -0.66
    zai
    -0.65
    went
    -0.65
    apist
    -0.65
    POSITIVE LOGITS
     shone
    1.18
     shine
    1.16
     shines
    1.09
     brightest
    1.03
     brighter
    0.99
     shining
    0.90
     brightly
    0.89
    lights
    0.88
     tremend
    0.86
    elight
    0.84
    Activations Density 0.019%

    No Known Activations