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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. 2-RES-JB
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "stone"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ntil
    -0.89
    olulu
    -0.80
    akening
    -0.74
    ournal
    -0.74
     actionGroup
    -0.73
    merce
    -0.68
    į
    -0.67
    alus
    -0.66
    Ģ
    -0.65
    Anonymous
    -0.65
    POSITIVE LOGITS
    stone
    1.19
    Stone
    1.07
    fish
    0.97
    stones
    0.96
    craft
    0.95
     stone
    0.91
    hill
    0.89
    born
    0.84
    bridge
    0.83
     stones
    0.83
    Activations Density 0.007%

    No Known Activations