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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. 6-RES-JB
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    Explanations

    the word "Hope" at multiple activation levels

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of 'hope'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VERTISEMENT
    -0.88
    insula
    -0.85
    ORPG
    -0.77
    aution
    -0.76
    Ģ
    -0.75
    ĻĤ
    -0.74
    illac
    -0.74
    chnology
    -0.73
    pes
    -0.73
    Ü
    -0.73
    POSITIVE LOGITS
    ful
    0.97
     Hicks
    0.85
    fulness
    0.78
     Hope
    0.76
    bringer
    0.74
    fully
    0.73
     Solo
    0.72
    lyn
    0.71
     Clinic
    0.69
     Maker
    0.68
    Activations Density 0.031%

    No Known Activations