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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. 7-RES-JB
    11. 14494
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    Explanations

    phrases related to not meeting expectations or disappointing outcomes

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     stag
    -0.58
    Tu
    -0.58
     sunset
    -0.57
     rain
    -0.54
     bun
    -0.54
     playable
    -0.53
     Planes
    -0.53
     beaches
    -0.53
     unlimited
    -0.52
     cheers
    -0.51
    POSITIVE LOGITS
    terness
    0.72
    inventoryQuantity
    0.67
    fulness
    0.66
    ĸļ
    0.66
    soType
    0.64
     Clicker
    0.59
     Judith
    0.58
    cknow
    0.58
    aution
    0.58
    DragonMagazine
    0.58
    Activations Density 0.227%

    No Known Activations