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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. 889
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    Explanations

    the word "Wild" with a high activation value

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Wild" related to various contexts

    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
    uters
    -0.89
    berus
    -0.85
    uyomi
    -0.84
    akeru
    -0.82
    ately
    -0.81
    ounced
    -0.78
    abeth
    -0.78
    xus
    -0.77
    ateral
    -0.77
     mathemat
    -0.77
    POSITIVE LOGITS
    erness
    1.04
    lings
    0.97
    flower
    0.93
    fire
    0.91
    Tang
    0.87
    fires
    0.86
    rose
    0.80
    birds
    0.80
    blood
    0.80
     Wings
    0.79
    Activations Density 0.010%

    No Known Activations