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    1. Home
    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. 23045
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    Explanations

    words ending in "ing"

    oai_token-act-pair · gpt-3.5-turbo

    words related to actions and activities, particularly those ending with 'ing'

    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
    ascript
    -0.79
    å£
    -0.70
    osate
    -0.69
     Leilan
    -0.65
     captcha
    -0.64
    igslist
    -0.61
    ngth
    -0.60
    ACP
    -0.60
    ãĥ¤
    -0.60
    phabet
    -0.59
    POSITIVE LOGITS
    redients
    1.20
    tons
    1.03
    lass
    1.03
    roup
    0.85
    borough
    0.84
    uez
    0.81
    ering
    0.81
    mire
    0.81
    rad
    0.79
    hoff
    0.78
    Activations Density 0.044%

    No Known Activations