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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. 16499
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    Explanations

    phrases indicating hypothetical or imagined scenarios

    oai_token-act-pair · gpt-3.5-turbo

    conditional phrases that express uncertainty or hypothetical situations

    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
    verts
    -0.79
    vez
    -0.72
    amus
    -0.72
    abre
    -0.72
    emate
    -0.71
    eport
    -0.71
    akia
    -0.67
    yn
    -0.66
    boot
    -0.66
    yna
    -0.65
    POSITIVE LOGITS
     nothing
    0.80
     attempting
    0.75
     they
    0.74
     possessed
    0.71
    yip
    0.69
     incapable
    0.69
     someone
    0.68
     admitting
    0.67
    acan
    0.64
     somebody
    0.64
    Activations Density 0.033%

    No Known Activations