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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. 4-RES-JB
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    Explanations

    instances of the word "torch" being mentioned in different contexts throughout the text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "torch" and related variations

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

    No Comments

    Negative Logits
    akening
    -0.76
    alam
    -0.75
    ilibrium
    -0.72
    nesota
    -0.68
    oln
    -0.67
    ele
    -0.66
    ettings
    -0.64
    omal
    -0.64
    essor
    -0.64
    OHN
    -0.63
    POSITIVE LOGITS
     torch
    1.05
    light
    1.00
    pole
    0.99
     torches
    0.92
    lit
    0.89
     Torch
    0.84
    itudinal
    0.81
    elight
    0.80
    beam
    0.79
     exting
    0.79
    Activations Density 0.009%

    No Known Activations