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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. 6-RES-JB
    11. 21823
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    Explanations

    terms related to large quantities or volumes

    oai_token-act-pair · gpt-3.5-turbo

    references to large quantities or bulk items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pires
    -0.70
    İĭ
    -0.69
     Enemies
    -0.69
    endants
    -0.66
    abama
    -0.62
     Children
    -0.62
     Enrique
    -0.62
     Apostles
    -0.61
    orio
    -0.61
     Venice
    -0.61
    POSITIVE LOGITS
     bulk
    0.87
    heads
    0.84
    head
    0.80
     bins
    0.75
    cast
    0.73
     collection
    0.72
    ier
    0.72
    haul
    0.72
     haul
    0.71
    shaw
    0.71
    Activations Density 0.022%

    No Known Activations