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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. 2-RES-JB
    11. 23851
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    Explanations

    words related to the action of getting rid of something or taking care of it

    oai_token-act-pair · gpt-3.5-turbo

    terms related to disposal and whether items are being discarded or managed

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ammed
    -0.77
     Pell
    -0.66
    apa
    -0.66
    orsi
    -0.66
    apo
    -0.63
     Hansen
    -0.63
     Bard
    -0.63
    arta
    -0.62
    iah
    -0.61
     Benedict
    -0.60
    POSITIVE LOGITS
     dispos
    1.22
     disposed
    1.18
     dispose
    1.16
    ertation
    0.92
    itionally
    0.91
    ables
    0.91
     rall
    0.87
    itions
    0.85
     disposition
    0.85
    itures
    0.82
    Activations Density 0.014%

    No Known Activations