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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. 9-RES-JB
    11. 15912
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    Explanations

    capital letters or acronyms

    oai_token-act-pair · gpt-3.5-turbo

    references to various organizations or groups, particularly their initials or acronyms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.81
    terday
    -0.66
     profiling
    -0.65
     unison
    -0.63
     provoking
    -0.63
     spirited
    -0.63
     haste
    -0.63
     teasing
    -0.62
    edIn
    -0.61
     juggling
    -0.61
    POSITIVE LOGITS
    RC
    1.09
    CCC
    1.04
    FP
    1.02
    GC
    1.02
    SC
    1.00
    PD
    0.99
    CS
    0.99
    PP
    0.98
    DF
    0.98
    CC
    0.95
    Activations Density 0.175%

    No Known Activations