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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. 4-RES-JB
    6. 23719
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    Explanations

    phrases related to the use of various technologies or techniques

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "used" in various contexts

    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
     Hai
    -0.77
    awk
    -0.71
    rats
    -0.71
    dom
    -0.70
    gdala
    -0.68
    antle
    -0.67
     Tale
    -0.65
    odore
    -0.64
    mares
    -0.62
    ortality
    -0.60
    POSITIVE LOGITS
    fully
    0.86
     Used
    0.84
     sparing
    0.82
     condoms
    0.75
    FUL
    0.74
    heny
    0.70
    ivated
    0.67
     interchange
    0.66
     tools
    0.65
     aback
    0.65
    Activations Density 0.047%

    No Known Activations