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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. 7-RES-JB
    11. 9608
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    Explanations

    names of individuals, possibly related to different contexts

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ivia
    -0.86
    urity
    -0.81
    berus
    -0.78
    gdala
    -0.77
    ãĥĪ
    -0.77
    ctions
    -0.77
    ctory
    -0.75
    ãĥ¤
    -0.75
    alogue
    -0.75
    ãĥ¬
    -0.74
    POSITIVE LOGITS
    robe
    1.70
    ynski
    0.96
    ens
    0.93
    ages
    0.85
    hips
    0.83
    ings
    0.82
    ell
    0.82
    ling
    0.80
    age
    0.79
    lock
    0.79
    Activations Density 0.028%

    No Known Activations