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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. 3669
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    Explanations

    terms related to disruptions or disturbances

    oai_token-act-pair · gpt-3.5-turbo

    references to disruption and its impacts

    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
    rie
    -0.76
    ramid
    -0.73
    uct
    -0.72
    uncle
    -0.71
    rahim
    -0.70
    phans
    -0.69
    mber
    -0.68
    ndra
    -0.68
    eah
    -0.67
    hl
    -0.67
    POSITIVE LOGITS
     disruptions
    0.97
     disrupted
    0.94
    alore
    0.91
     disrupt
    0.87
     disrupting
    0.85
     interruption
    0.82
     disruptive
    0.82
     havoc
    0.81
     curfew
    0.80
     disruption
    0.78
    Activations Density 0.050%

    No Known Activations