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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. 24512
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    Explanations

    phrases related to groups of people or entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate quantity and group 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
    ukong
    -0.85
    ahime
    -0.84
     fray
    -0.72
    nah
    -0.71
    encies
    -0.71
    McC
    -0.70
    atre
    -0.70
    next
    -0.70
    lance
    -0.69
    Next
    -0.69
    POSITIVE LOGITS
     concentrated
    0.77
     representing
    0.74
     harmless
    0.72
     compensated
    0.70
     clustered
    0.69
     terminating
    0.68
     affiliated
    0.67
     centered
    0.66
     localized
    0.65
     located
    0.65
    Activations Density 0.129%

    No Known Activations