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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. 8-RES-JB
    11. 22650
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    Explanations

    the word "Col" with a high activation value

    oai_token-act-pair · gpt-3.5-turbo

    references to "Col" as an abbreviation for "college"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Werewolf
    -0.75
    visor
    -0.63
     forth
    -0.62
    natureconservancy
    -0.61
    CHAT
    -0.61
    ARK
    -0.60
    ARP
    -0.60
    cffffcc
    -0.60
     Icelandic
    -0.59
    IELD
    -0.59
    POSITIVE LOGITS
    ossal
    1.32
    onel
    1.23
    ombo
    1.15
    onial
    1.13
    umbo
    1.13
    ossus
    1.08
    ophon
    1.07
    leen
    1.06
    oured
    1.05
    ored
    1.02
    Activations Density 0.028%

    No Known Activations