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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. 4-RES-JB
    11. 13100
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    Explanations

    phrases related to gaining something, such as control or experience

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "gain" or its variations in various contexts

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

    No Comments

    Negative Logits
    iso
    -0.63
     crying
    -0.60
    è¦ļéĨĴ
    -0.59
    odynamics
    -0.59
     molecule
    -0.58
    uality
    -0.58
    atis
    -0.58
     Drugs
    -0.58
    senal
    -0.57
    machine
    -0.57
    POSITIVE LOGITS
    esville
    1.02
    /+
    0.82
    fully
    0.80
     notoriety
    0.79
    icult
    0.79
    esses
    0.79
     traction
    0.77
    llor
    0.76
    aroo
    0.75
    ful
    0.74
    Activations Density 0.020%

    No Known Activations