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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. 4-RES-JB
    11. 1406
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    Explanations

    actions or potential actions being contemplated or executed

    oai_token-act-pair · gpt-3.5-turbo

    actions or intentions related to future activities and decisions

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

    No Comments

    Negative Logits
    gart
    -0.77
    tro
    -0.73
     Entered
    -0.71
    inently
    -0.67
    Board
    -0.65
    theless
    -0.65
    circ
    -0.64
     Prot
    -0.62
    hog
    -0.61
    arp
    -0.59
    POSITIVE LOGITS
    pez
    0.87
     wrong
    0.74
    iotic
    0.70
    omething
    0.70
     toget
    0.69
    etting
    0.67
    atives
    0.65
    ulse
    0.64
     ferment
    0.63
    ictionary
    0.62
    Activations Density 0.074%

    No Known Activations