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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. 2-RES-JB
    6. 7263
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    Explanations

    words related to assertion and conflict

    oai_token-act-pair · gpt-3.5-turbo

    expressions of anger or frustration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rax
    -0.57
     Wikimedia
    -0.53
    raz
    -0.53
    aro
    -0.52
     scanners
    -0.52
    anyl
    -0.51
    NW
    -0.51
    ella
    -0.51
    Wi
    -0.50
    pak
    -0.49
    POSITIVE LOGITS
    tenance
    0.72
    ibilities
    0.72
    EMENT
    0.65
    uated
    0.64
    ª
    0.62
    ATIONAL
    0.61
    ificant
    0.60
    ABLE
    0.59
    erate
    0.59
    ories
    0.59
    Activations Density 0.352%

    No Known Activations