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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. 10-RES-JB
    11. 24393
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    Explanations

    phrases related to various directions or relative positions, such as "on the back foot" or "on the receiving end."

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating positions or states of balance and instability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     warr
    -0.61
     Canaveral
    -0.59
    isin
    -0.58
    Ô
    -0.57
    ECA
    -0.57
     winters
    -0.56
    emouth
    -0.56
     Meaning
    -0.55
     Flavoring
    -0.55
    ufact
    -0.55
    POSITIVE LOGITS
    iest
    0.98
    elight
    0.91
    liest
    0.84
    osphere
    0.82
    lines
    0.79
    stre
    0.79
     side
    0.79
    steps
    0.78
    waters
    0.77
    forts
    0.76
    Activations Density 0.168%

    No Known Activations