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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. 7-RES-JB
    11. 9969
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    Explanations

    mentions of the word "Am" followed by a string of characters

    oai_token-act-pair · gpt-3.5-turbo

    repetitive mentions of the term "Am."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     directions
    -0.77
    ãģį
    -0.69
     diving
    -0.68
    vous
    -0.65
    ttes
    -0.64
     corners
    -0.64
     masks
    -0.64
     learners
    -0.63
     Rebels
    -0.63
     aver
    -0.63
    POSITIVE LOGITS
    ethyst
    1.37
    bitious
    1.24
    ulet
    1.24
    sterdam
    1.23
    endment
    1.21
    nesty
    1.13
    ajor
    1.10
    nesia
    1.09
    iga
    1.04
    itan
    1.03
    Activations Density 0.015%

    No Known Activations