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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. 14352
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    Explanations

    The neuron is seeking phrases related to email alerts

    oai_token-act-pair · gpt-3.5-turbo

    the presence of email-related content or references

    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
    fig
    -0.88
    flies
    -0.88
    fulness
    -0.82
    stood
    -0.74
    ball
    -0.71
    jury
    -0.70
     Cobb
    -0.66
    runs
    -0.66
    gling
    -0.65
    footed
    -0.65
    POSITIVE LOGITS
     Emails
    0.98
    VERTISEMENT
    0.74
     inbox
    0.73
    uters
    0.73
     verify
    0.69
     transcript
    0.68
     transcripts
    0.67
     Transcript
    0.66
     Email
    0.66
     arming
    0.65
    Activations Density 0.010%

    No Known Activations