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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. 12815
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    Explanations

    information related to fielding, such as fielding phone calls or fielding candidates

    oai_token-act-pair · gpt-3.5-turbo

    the verb "field" and its variations in different contexts

    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
    fet
    -0.74
    âĶĢâĶĢ
    -0.69
    edo
    -0.69
    edom
    -0.67
    ipping
    -0.65
    liness
    -0.64
     Passage
    -0.64
     Fet
    -0.63
    externalActionCode
    -0.63
    eus
    -0.62
    POSITIVE LOGITS
    ãĤ©
    0.99
     fielded
    0.96
     fielding
    0.90
    FIELD
    0.82
    ãĤ´
    0.82
    ãĥ¼ãĥĨãĤ£
    0.79
    ãĤ¡
    0.74
    onduct
    0.70
    ãĥ£
    0.69
    dinand
    0.67
    Activations Density 0.012%

    No Known Activations