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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. 23485
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    Explanations

    phrases related to height or altitude

    oai_token-act-pair · gpt-3.5-turbo

    variations of the syllable "gh" often used in names or descriptors

    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
     clustered
    -0.65
     closest
    -0.64
    alties
    -0.63
     helicop
    -0.62
    perature
    -0.61
     swarm
    -0.59
     Bots
    -0.59
     differential
    -0.58
     prescribed
    -0.58
    IAL
    -0.58
    POSITIVE LOGITS
    ttp
    1.32
    ouls
    1.16
    tml
    1.02
    arrison
    1.02
    urst
    1.00
    olics
    0.99
    orns
    0.99
    awk
    0.94
    orn
    0.91
    orst
    0.90
    Activations Density 0.029%

    No Known Activations