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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. 12-RES-JB
    6. 14552
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    Explanations

    the preposition "at" at the beginning of sentences

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    instances of the word "at"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itized
    -0.63
    Sense
    -0.59
     resembled
    -0.57
     connects
    -0.56
    itiz
    -0.55
    encers
    -0.54
     lodged
    -0.54
    alities
    -0.54
    ItemTracker
    -0.54
     Joined
    -0.53
    POSITIVE LOGITS
     least
    1.61
     worst
    1.15
     minimum
    1.10
    onement
    1.09
     best
    1.09
    best
    0.98
    mosp
    0.97
    worst
    0.96
    le
    0.92
    roph
    0.88
    Activations Density 0.060%

    No Known Activations