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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    the words "unaccompanied" and "apprehended"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to unaccompanied youths and their interactions with authorities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hetti
    -0.78
    ovie
    -0.73
     laure
    -0.72
    bread
    -0.69
    ced
    -0.69
    bes
    -0.66
    wig
    -0.66
    sheets
    -0.65
    itsch
    -0.64
     Norton
    -0.64
    POSITIVE LOGITS
    accompanied
    1.20
     unaccompanied
    0.85
     Refugee
    0.78
    ylum
    0.78
     apprehended
    0.75
     Calais
    0.70
     asylum
    0.69
    Border
    0.69
     Paso
    0.68
     hepat
    0.66
    Activations Density 0.025%

    No Known Activations