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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. 12-RES-JB
    11. 4749
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    Explanations

    the phrase "Fle" in the text

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    mentions of specific types of 'flea'-related subjects or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LESS
    -0.75
     dependent
    -0.67
     dedication
    -0.64
     rebirth
    -0.63
     sorely
    -0.60
     reality
    -0.60
     EntityItem
    -0.59
     input
    -0.58
     birth
    -0.57
     Vi
    -0.57
    POSITIVE LOGITS
    ury
    1.42
    ischer
    1.37
    mington
    1.25
    isch
    1.24
    urus
    1.22
    uve
    1.17
    eting
    1.16
    chet
    1.15
    cks
    1.11
    ur
    1.09
    Activations Density 0.020%

    No Known Activations