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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. 18759
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    Explanations

    occurrences of the word "cher" or words containing "cher" in them

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "cher" 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
    endum
    -0.69
    ension
    -0.66
    ourced
    -0.64
    condition
    -0.63
    hern
    -0.60
    haust
    -0.60
    thinkable
    -0.60
    utra
    -0.60
    opal
    -0.59
    Reviewer
    -0.59
    POSITIVE LOGITS
    eers
    0.94
    cher
    0.88
    ãĤ¡
    0.87
    ry
    0.85
    chers
    0.82
    eer
    0.81
    rone
    0.81
    sonian
    0.80
    lain
    0.80
    fish
    0.75
    Activations Density 0.027%

    No Known Activations