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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 16830
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    Explanations

    phrases related to rankings or categorizations, particularly those involving numbers

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a hierarchical or sequential relationship

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    leep
    -0.50
    steen
    -0.49
    estern
    -0.49
    rament
    -0.49
     Legs
    -0.47
    rawdownloadcloneembedreportprint
    -0.46
    dq
    -0.46
    cers
    -0.45
     berth
    -0.45
    uve
    -0.44
    POSITIVE LOGITS
    inator
    0.59
    alg
    0.56
    and
    0.51
    icz
    0.48
    swick
    0.48
    ander
    0.48
    oran
    0.47
    ains
    0.47
    anders
    0.45
    alsh
    0.45
    Activations Density 0.284%

    No Known Activations