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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. 21839
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    INDEX
    Explanations

    words related to activities or events sequenced in chronological order

    oai_token-act-pair · gpt-3.5-turbo

    repetitive conjunctions in a sequence of actions or events

    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
    Fight
    -0.71
    ibble
    -0.68
    acus
    -0.68
    buster
    -0.67
    DX
    -0.67
    busters
    -0.65
    shaw
    -0.65
    EMS
    -0.64
    ut
    -0.64
    mma
    -0.64
    POSITIVE LOGITS
     furthermore
    1.22
     secondly
    1.12
     consequently
    1.10
     moreover
    1.08
     therefore
    1.05
     then
    1.01
     vice
    1.00
     THEN
    1.00
     thence
    0.99
     thus
    0.97
    Activations Density 0.232%

    No Known Activations