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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. 3-RES-JB
    11. 12418
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    Explanations

    names of German newspapers

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Die" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olulu
    -0.84
    uckland
    -0.80
    hips
    -0.75
    orthy
    -0.74
    Īè
    -0.72
    airo
    -0.72
    rouse
    -0.72
    raised
    -0.71
    ourced
    -0.71
    xual
    -0.69
    POSITIVE LOGITS
     Die
    0.95
    bold
    0.90
    Die
    0.84
    ppe
    0.83
    getic
    0.81
    ffen
    0.81
     Spiegel
    0.78
     die
    0.76
    go
    0.76
    hard
    0.73
    Activations Density 0.008%

    No Known Activations