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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. 2-RES-JB
    6. 115
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    Explanations

    the word "slate" typically used in the context of scheduled events or line-ups

    oai_token-act-pair · gpt-4-turbo

    the word "slate" in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    the concept of a "slate," referring to a set of scheduled events or items

    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
    alez
    -0.84
    abad
    -0.80
    anooga
    -0.75
    ivation
    -0.73
    doms
    -0.70
    thus
    -0.70
    INA
    -0.68
    ivating
    -0.68
    ificent
    -0.67
    activate
    -0.67
    POSITIVE LOGITS
     slate
    1.51
    cloth
    0.80
    mates
    0.74
    lihood
    0.73
     mosaic
    0.72
    wcsstore
    0.71
    creen
    0.69
    jam
    0.66
    board
    0.66
    ings
    0.65
    Activations Density 0.005%

    No Known Activations