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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. 7-RES-JB
    11. 20619
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    Explanations

    requests to try again or attempt repeated actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to troubleshooting or retrying actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icipated
    -0.67
    HEAD
    -0.66
    affer
    -0.66
    cedented
    -0.65
    head
    -0.64
    obyl
    -0.64
    otype
    -0.63
    temp
    -0.63
    heit
    -0.62
    ifa
    -0.62
    POSITIVE LOGITS
     harder
    0.81
     unsuccessfully
    0.78
    nir
    0.78
    ipers
    0.69
     contacting
    0.68
    ":"/
    0.66
     Mayo
    0.66
    gly
    0.64
    urdue
    0.63
    outs
    0.63
    Activations Density 0.023%

    No Known Activations