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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. 6-RES-JB
    6. 16499
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    Explanations

    personal or location names, possibly related to politics and military

    oai_token-act-pair · gpt-3.5-turbo

    terms related to specific measurements or instances of numerical significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     stump
    -0.70
    Priv
    -0.67
     judgement
    -0.66
     pse
    -0.66
    headers
    -0.66
    venants
    -0.62
    soDeliveryDate
    -0.62
     backlog
    -0.61
    ĸļ
    -0.60
     elevation
    -0.60
    POSITIVE LOGITS
    ruary
    1.03
    enza
    0.86
    agy
    0.86
    illet
    0.84
    acci
    0.82
    cus
    0.81
    tein
    0.81
    nir
    0.80
    igure
    0.79
    ancial
    0.78
    Activations Density 0.242%

    No Known Activations