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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. 3-RES-JB
    11. 6189
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    Explanations

    words related to liquid or semi-liquid substances

    oai_token-act-pair · gpt-3.5-turbo

    words related to clothing items and their attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     breach
    -0.70
     characteristic
    -0.66
     prerequisite
    -0.66
     lapse
    -0.66
     Bers
    -0.65
     Balk
    -0.64
     adv
    -0.64
    ãĥĹ
    -0.64
     haste
    -0.64
     manner
    -0.61
    POSITIVE LOGITS
    ombat
    0.81
    parts
    0.79
    LOAD
    0.77
    root
    0.77
    aun
    0.77
    pload
    0.76
    ibilities
    0.76
    cheon
    0.76
    puff
    0.76
    FACE
    0.75
    Activations Density 0.049%

    No Known Activations