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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. 11365
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    osponsors
    -0.90
    alos
    -0.88
    aucus
    -0.80
    atel
    -0.78
    oother
    -0.77
    tower
    -0.77
    lust
    -0.77
    esville
    -0.77
    achu
    -0.74
    yip
    -0.74
    POSITIVE LOGITS
     disasters
    0.79
     goodies
    0.76
     pseudo
    0.74
     disaster
    0.73
     interventions
    0.70
     horrors
    0.70
     artificial
    0.69
     civilian
    0.66
     enterprises
    0.65
     garbage
    0.64
    Activations Density 0.092%

    No Known Activations