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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. 1-RES-JB
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    Explanations

    references to bodies of water

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "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 @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Dim
    -0.75
    Disk
    -0.71
    ĸļ
    -0.70
    INS
    -0.69
    sha
    -0.65
    PE
    -0.60
     admirable
    -0.59
    ulton
    -0.59
     mint
    -0.59
    ures
    -0.59
    POSITIVE LOGITS
    ater
    1.32
    aters
    1.11
    apter
    0.95
    untled
    0.93
    iatus
    0.84
    acers
    0.83
     Royale
    0.83
    atus
    0.82
    atos
    0.82
    geist
    0.81
    Activations Density 0.010%

    No Known Activations