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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. 11-RES-JB
    11. 9221
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    INDEX
    Explanations

    mentions of a particular term or concept, possibly related to changes or actions, as indicated by the repeated "re" activations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the prefix "re" indicating repetition or a return to a previous state

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ANE
    -0.68
     Superintendent
    -0.68
    ONES
    -0.64
     Yuan
    -0.63
     Berm
    -0.63
     nib
    -0.61
     gag
    -0.60
     Razer
    -0.60
     Nest
    -0.58
     sting
    -0.57
    POSITIVE LOGITS
    asons
    1.36
    porter
    1.36
    ceive
    1.29
    leases
    1.28
    joice
    1.25
    venge
    1.25
    ceiver
    1.24
    venue
    1.21
    vised
    1.18
    becca
    1.18
    Activations Density 0.028%

    No Known Activations