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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. 9249
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    Explanations

    words related to buildings and structures

    oai_token-act-pair · gpt-3.5-turbo

    specific single letters or short sequences that may denote particular significance in documents

    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
    xus
    -0.77
    MENTS
    -0.77
    kamp
    -0.71
    SHARE
    -0.71
     Reborn
    -0.70
    è£ħ
    -0.65
     Bots
    -0.64
    İĭ
    -0.63
    stadt
    -0.63
     Kills
    -0.62
    POSITIVE LOGITS
    ust
    0.92
    aund
    0.91
    arming
    0.91
    umped
    0.90
    asting
    0.87
    anc
    0.87
    aste
    0.86
    ake
    0.83
    asted
    0.83
    rest
    0.83
    Activations Density 0.090%

    No Known Activations