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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. 6-RES-JB
    11. 17546
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    Explanations

    numbered items or items related to a specific count

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific ordinal numbers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocker
    -0.65
     ARC
    -0.64
    affer
    -0.64
     Pwr
    -0.63
    JD
    -0.61
    NP
    -0.61
     dust
    -0.60
     mosqu
    -0.59
    OCK
    -0.59
    offer
    -0.58
    POSITIVE LOGITS
    teen
    2.20
    teenth
    1.94
    ths
    1.07
    th
    1.05
    een
    1.04
    eteen
    0.99
    es
    0.94
    eks
    0.93
    ety
    0.93
    fif
    0.90
    Activations Density 0.069%

    No Known Activations