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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. 3669
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    Explanations

    references to the city of Venice or things associated with Venice

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Ven" and its variations

    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
     actionGroup
    -0.91
    ARR
    -0.75
    intosh
    -0.75
    matically
    -0.69
    VALUE
    -0.67
     EPS
    -0.66
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.66
     rgb
    -0.66
    è¦ļéĨĴ
    -0.66
    cffffcc
    -0.64
    POSITIVE LOGITS
    Ven
    0.91
    ues
    0.89
    apore
    0.88
    ison
    0.87
    idian
    0.84
    cius
    0.83
    ance
    0.82
     Ven
    0.82
    ables
    0.80
    uers
    0.80
    Activations Density 0.024%

    No Known Activations