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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. 1-RES-JB
    11. 7215
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    Explanations

    words related to disadvantages or difficulties

    oai_token-act-pair · gpt-3.5-turbo

    terms related to disadvantages and indecisiveness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chnology
    -0.93
    ppings
    -0.70
    verett
    -0.69
     Thumbnails
    -0.69
     Scrolls
    -0.66
    uds
    -0.65
    Adds
    -0.64
     Enhancement
    -0.63
    ream
    -0.62
     hooks
    -0.62
    POSITIVE LOGITS
    inatory
    0.88
    iven
    0.87
    inventoryQuantity
    0.84
    itarian
    0.77
    enburg
    0.77
    iac
    0.75
    oppable
    0.74
    lessness
    0.72
    ipeg
    0.72
    iencies
    0.71
    Activations Density 0.022%

    No Known Activations