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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. 14610
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    Explanations

    phrases related to the action of disposing or getting rid of something

    oai_token-act-pair · gpt-3.5-turbo

    terms related to waste disposal

    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
    sky
    -0.72
    orsi
    -0.70
     sleeper
    -0.68
    chell
    -0.65
    antha
    -0.65
    aca
    -0.64
    mpeg
    -0.64
    imov
    -0.63
    hetti
    -0.63
    CHA
    -0.62
    POSITIVE LOGITS
    itions
    1.05
    itionally
    1.04
     dispose
    1.02
    itional
    0.95
    itures
    0.92
     dispos
    0.91
    ables
    0.91
     disposed
    0.88
    ertation
    0.83
    IED
    0.83
    Activations Density 0.058%

    No Known Activations