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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 17735
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    Explanations

    mentions of lakes in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to lakes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Goodwin
    -0.77
    auld
    -0.76
    cul
    -0.74
    aldi
    -0.68
    ENTS
    -0.68
    Ô
    -0.68
    nant
    -0.68
    LM
    -0.68
    llah
    -0.66
     Fu
    -0.65
    POSITIVE LOGITS
     lake
    0.98
     lakes
    0.93
    tub
    0.92
    front
    0.82
     Erie
    0.82
     ponds
    0.81
     basin
    0.81
    ishly
    0.80
    omed
    0.79
    urst
    0.77
    Activations Density 0.020%

    No Known Activations