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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. 3-RES-JB
    11. 9006
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    Explanations

    the letter "T"

    oai_token-act-pair · gpt-3.5-turbo

    alphabetical characters or letters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iverpool
    -0.60
    hu
    -0.56
    otation
    -0.56
    pperc
    -0.55
    sf
    -0.55
    taboola
    -0.55
    wage
    -0.55
    cause
    -0.54
    nec
    -0.54
    Åį
    -0.54
    POSITIVE LOGITS
    UTE
    1.03
    OLOGY
    1.01
    EMENT
    1.00
    ITION
    1.00
    ILL
    0.97
    WARD
    0.94
    ENE
    0.94
    ISH
    0.94
    ING
    0.93
    VIEW
    0.92
    Activations Density 0.153%

    No Known Activations