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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. 1384
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    Explanations

    phrases related to sending or dispatching something or someone

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "sent" in various contexts, indicating a focus on actions related to dispatch or transfer

    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
    theless
    -0.79
    walker
    -0.62
     eater
    -0.60
    wit
    -0.58
    kernel
    -0.58
     composure
    -0.58
     patience
    -0.56
    liv
    -0.56
    haven
    -0.55
     Finish
    -0.55
    POSITIVE LOGITS
    inel
    1.38
    enced
    1.06
    entious
    1.03
    imental
    1.01
     abroad
    0.83
     forth
    0.82
     packing
    0.81
    ience
    0.81
    ries
    0.77
    opolis
    0.75
    Activations Density 0.044%

    No Known Activations