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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. 3-RES-JB
    11. 13015
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    INDEX
    Explanations

    mentions of water-related terms

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word 'water' in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reloaded
    -0.91
    asio
    -0.87
    ablishment
    -0.80
    eering
    -0.76
    -+-+-+-+
    -0.76
    ique
    -0.73
     Extras
    -0.72
    Brand
    -0.71
    urations
    -0.69
    eers
    -0.69
    POSITIVE LOGITS
    melon
    1.40
    colour
    1.04
    falls
    0.94
    proof
    0.93
    tight
    0.92
    borne
    0.88
    water
    0.86
     flowing
    0.84
     flows
    0.83
     reservoirs
    0.83
    Activations Density 0.022%

    No Known Activations