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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
    11. 13672
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    Explanations

    prepositions and prepositional phrases related to actions or situations

    oai_token-act-pair · gpt-3.5-turbo

    prepositions and their usage 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
    untled
    -0.60
    intention
    -0.58
    orah
    -0.58
    enhagen
    -0.56
    afety
    -0.55
    huge
    -0.55
    resy
    -0.53
    jriwal
    -0.53
    arent
    -0.52
    edin
    -0.52
    POSITIVE LOGITS
    thood
    0.78
     Camel
    0.70
    sets
    0.66
    SPONSORED
    0.62
     guiActiveUnfocused
    0.59
    etime
    0.58
     Deity
    0.57
     steroids
    0.56
    GMT
    0.55
     deity
    0.55
    Activations Density 1.353%

    No Known Activations