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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. 11-RES-JB
    6. 4005
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    INDEX
    Explanations

    the word "the" when followed by a specific type of word or context

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "the" along with various objects or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amar
    -0.83
    isan
    -0.82
    thood
    -0.82
    forestation
    -0.81
    WAYS
    -0.81
    incinnati
    -0.76
    ruary
    -0.76
    hov
    -0.73
    ablishment
    -0.73
    ornings
    -0.71
    POSITIVE LOGITS
     offending
    1.26
     accelerator
    1.19
     lid
    1.17
     brakes
    1.10
     railing
    1.10
     trigger
    1.09
     ignition
    1.08
     handcuffs
    1.07
     knob
    1.07
     steering
    1.06
    Activations Density 0.143%

    No Known Activations