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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. 7-RES-JB
    6. 19391
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    Explanations

    phrases related to political and economic alternatives

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to feeling better or improved emotional states

    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
    ullivan
    -0.51
    conservancy
    -0.48
    eni
    -0.48
    gins
    -0.46
    agar
    -0.45
     Aware
    -0.44
    ppings
    -0.44
    omen
    -0.44
    arij
    -0.43
    centric
    -0.43
    POSITIVE LOGITS
     etc
    0.90
    etc
    0.87
     [|
    0.63
    §
    0.59
    ¯¯¯¯
    0.58
    -|
    0.57
     ..............
    0.57
    ¯¯¯¯¯¯¯¯
    0.57
    ));
    0.56
    â̦â̦
    0.56
    Activations Density 0.658%

    No Known Activations