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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. 4-RES-JB
    11. 19387
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    Explanations

    text related to historical events or moments

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the presence of burdens or challenges

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

    No Comments

    Negative Logits
    eem
    -0.64
     recall
    -0.59
     Embassy
    -0.58
    atically
    -0.58
     Social
    -0.57
    OOL
    -0.57
     recalls
    -0.57
     Penal
    -0.55
     embassy
    -0.55
     Holiday
    -0.55
    POSITIVE LOGITS
     been
    1.44
     undergone
    1.16
     arisen
    1.14
    been
    1.06
     become
    1.05
     risen
    1.04
     gotten
    1.03
     begun
    1.03
     gone
    1.00
     Been
    0.97
    Activations Density 0.346%

    No Known Activations