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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. 21365
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    Explanations

    instances where something physically comes to a halt or touches the ground

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "landing" and its variations in context

    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
    ĸļ
    -0.75
    uv
    -0.71
    acco
    -0.71
    creation
    -0.68
     overload
    -0.67
    die
    -0.66
    inventoryQuantity
    -0.64
    avid
    -0.61
    aths
    -0.60
    owan
    -0.59
    POSITIVE LOGITS
     squarely
    1.04
     smack
    0.89
     awkwardly
    0.88
     atop
    0.84
     safely
    0.80
    uates
    0.78
    locked
    0.77
    prises
    0.76
    planes
    0.76
     blows
    0.76
    Activations Density 0.050%

    No Known Activations