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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 20761
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    Explanations

    the word "to" followed by an action or destination

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "go to" with varying frequencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     thereof
    -0.80
     transmitted
    -0.69
     contrasted
    -0.67
     compounded
    -0.66
    contained
    -0.66
     conveyed
    -0.65
    tymology
    -0.64
    auga
    -0.64
    etheless
    -0.62
    Released
    -0.60
    POSITIVE LOGITS
    bern
    0.79
    pless
    0.77
     bed
    0.74
    vt
    0.73
    Ô
    0.71
     hell
    0.67
    ying
    0.66
     pick
    0.64
     Vegas
    0.64
     Mandal
    0.64
    Activations Density 0.112%

    No Known Activations