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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. 7-RES-JB
    11. 9741
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    Explanations

    words related to automotive parts, particularly the front part of a vehicle

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the front part of objects, particularly in automotive contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    risome
    -0.84
    wana
    -0.84
    rencies
    -0.81
    âĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪ
    -0.81
    zin
    -0.80
    awatts
    -0.80
    ptives
    -0.79
    yre
    -0.78
    aters
    -0.78
    Leaks
    -0.77
    POSITIVE LOGITS
     lawn
    0.93
     bumper
    0.90
    most
    0.89
     row
    0.89
     door
    0.89
     porch
    0.89
     sight
    0.80
     thigh
    0.77
     brake
    0.76
    ward
    0.76
    Activations Density 0.021%

    No Known Activations