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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 4410
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    Explanations

    mentions of the word "cher" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to people or characters with the name "Cher."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¥µ
    -0.68
    undo
    -0.67
    ension
    -0.65
    Reviewer
    -0.63
    onent
    -0.62
    eworks
    -0.62
    opathy
    -0.62
    condition
    -0.60
    endum
    -0.60
    opal
    -0.60
    POSITIVE LOGITS
    cher
    1.02
    chers
    0.91
    eers
    0.87
    ry
    0.85
    ãĤ¡
    0.80
    mann
    0.80
    tons
    0.78
    lain
    0.78
    pine
    0.78
    sonian
    0.77
    Activations Density 0.016%

    No Known Activations