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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. 17828
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    Explanations

    names or proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    specific proper nouns or unique identifiers

    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
     proble
    -0.80
     assum
    -0.70
     contrace
    -0.68
     اÙĦ
    -0.68
     treasury
    -0.66
     conduc
    -0.66
     intimid
    -0.66
     princ
    -0.66
     bible
    -0.66
    è¦ļéĨĴ
    -0.65
    POSITIVE LOGITS
    bol
    0.81
    lesh
    0.80
    anth
    0.79
    ja
    0.78
    osa
    0.77
    nos
    0.77
    aro
    0.76
    ella
    0.76
    vier
    0.75
     Budd
    0.74
    Activations Density 0.847%

    No Known Activations