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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. 23916
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    Explanations

    action verbs indicating desire or intention

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or intention

    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
    imilar
    -0.65
     preparations
    -0.64
    anches
    -0.59
    ioxide
    -0.58
    BuyableInstoreAndOnline
    -0.57
     wonder
    -0.56
     apologies
    -0.56
     Zeit
    -0.56
     iso
    -0.55
    assad
    -0.55
    POSITIVE LOGITS
     nailed
    0.80
     undone
    0.75
     addressed
    0.73
     pinned
    0.72
     showcased
    0.72
    ioned
    0.71
    ģĸ
    0.70
     to
    0.67
     dearly
    0.66
    CU
    0.65
    Activations Density 0.101%

    No Known Activations