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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. 9-RES-JB
    11. 13090
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    Explanations

    the word "Az"

    oai_token-act-pair · gpt-3.5-turbo

    the end of a text segment indicator

    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
    ACTED
    -0.74
     Seah
    -0.62
    perature
    -0.61
     foremost
    -0.60
     Fargo
    -0.59
     Piper
    -0.57
     Pwr
    -0.56
     Hawth
    -0.55
    erest
    -0.54
    FIELD
    -0.54
    POSITIVE LOGITS
    ombie
    1.08
    hou
    1.05
    eez
    0.93
    hang
    0.92
    hur
    0.90
     Sharif
    0.89
    zy
    0.89
    illion
    0.87
    arro
    0.87
    quez
    0.86
    Activations Density 0.040%

    No Known Activations